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Stem rust of barley and wheat is caused by the obligate pathogen Puccinia graminis f. sp. tritici (Pgt) and stem rust of oat is caused by P. graminis f. sp. avenae (Pga). Stem rust can be a very destructive disease of cereal crops and, until the development of resistant host varieties, was responsible for millions of dollars of losses to producers. Genetic host resistance is the most common and effective method to control stem rust on cereals. Knowledge of the virulence genes and races present in the pathogen population is important to identify effective host resistance genes for use by cereal plant breeders. The objectives of this study were to determine the incidence and severity of P. graminis in wheat, barley and oat in Manitoba, Canada, and assess the virulence frequencies and races of isolates collected from Manitoba, Saskatchewan and Ontario, Canada during 2020 to 2022. Stem rust incidence and severity was very light in Manitoba in 2020, 2021 and 2022. Virulence was not observed on resistance genes Sr30, Sr24 and Sr31 from Canadian collections of Pgt isolates made during 2020 to 2022. Race QFCSC was the most common race of Pgt in Canada, and races MCCFC and TPMKC were also common in Manitoba in 2022. Virulence to resistance genes Pg6, Pg10 and Pg16 was not observed among Pga isolates. The most common race of Pga from Manitoba and Saskatchewan was TGN, followed by SGB and TJS. The most frequent Pga races were TDJ, TDD and TGN in Ontario. [ABSTRACT FROM AUTHOR]

Plant breeders are always in pursuit of desirable genes and gene complexes, leading to identification of potential and promising individuals/segregants often exhibiting traits with higher intensity. Identifying segregants with desirable combination of multiple traits would enable a breeder to develop superior cultivars. In this study, combining ability and multiple parent‐based approach was employed to derive segregants simultaneously superior for multiple traits. Single and double crosses were developed by crossing 11 parental lines in half diallel fashion and were evaluated under seven environments. To create crosses, the parental lines with the highest positive gca effects were selected in addition to desirable yield and fibre quality traits (SCYP, NOBP, BW, GOT, UHML and FS). The positive and significantly higher gca effects in these parents is an evidence of prominence of additive and additive × additive component of genetic variance. To identify desirable segregants, six F2 populations derived from four single and their two double crosses were evaluated by raising an optimal population size of 910–935 and 3040–3055 plants for single and double crosses, respectively. In each population, proportion of desirable and simultaneous transgressive segregants was estimated. A total of 19 (2.87%), 22 (3.32%) and 24 (3.60%) plants were transgressive in nature simultaneously for multiple traits in single crosses, namely, RAHH‐1755 and RAHH‐455, and double cross, namely, RHDC‐1933, of Group I, respectively. While in Group II, 22 (3.32%), 22 (3.32%) and 24 (3.60%) plants showed simultaneous transgressive segregation in RAHH‐1702, SHH‐818 and RHDC‐1940, respectively. The per cent simultaneous transgressive segregants were found to be higher in the double crosses compared with their respective single crosses, possibly for the reason that double crosses involve more number of parents owing to increased recombination. Hence, breeding for desirable segregating recombinants using diallel and multiple parent‐based approach paves the way towards directional selection based on combining ability making it more efficient compared with conventional means of hybridization followed by selection. [ABSTRACT FROM AUTHOR]

Yellow mosaic disease (YMD) with typical symptoms of alternating bright yellow to green patches associated with stunting, downward cupping, and wrinkling has been observed in mung bean on agricultural farms in Coimbatore, Tamil Nadu, India. PCR using gene-specific primers indicated the presence of the yellow mosaic virus in symptomatic plants. Rolling circle amplification (RCA) followed by restriction digestion detected ~2.7 kb of DNA-A and DNA-B, allowing the identification of a bipartite genome. The full-length genome sequences were deposited in NCBI GenBank with the accession numbers MK317961 (DNA-A) and MK317962 (DNA-B). Sequence analysis of DNA-A showed the highest sequence identity of 98.39% to the DNA-A of mungbean yellow mosaic virus (MYMV)-Vigna radiata (MW736047), while DNA-B exhibited the highest level of identity (98.21%) to the MYMV-Vigna aconitifolia isolate (DQ865203) reported from Tamil Nadu. Recombinant analysis revealed distinct evidence of recombinant breakpoints of DNA-A within the region encoding the open reading frame (ORF) AC2 (transcription activation protein), with the major parent identified as MYMV-PA1 (KC9111717) and the potential minor parent as MYMV-Namakkal (DQ86520.1). Interestingly, a recombination event in the common region (CR) of DNA-B, which encodes the nuclear shuttle protein and the movement protein, was detected. MYMIV-M120 (FM202447) and MYMV-Vigna (AJ132574) were identified as the event's major and minor parents, respectively. This large variation in DNA-B led us to suspect a recombination in DNA-B. Dimeric MYMV infectious clones were constructed, and the infectivity was confirmed through agroinoculation. In future prospects, unless relying on screening using whiteflies, breeders and plant pathologists can readily use this agroinoculation procedure to identify resistant and susceptible cultivars to YMD. [ABSTRACT FROM AUTHOR]

In a hybrid maize (Zea mays L.) breeding program that utilizes genomic selection, resource allocation used in phenotypic data acquisition must be balanced between population size, number of environments, and the number of testers used for generating hybrids. Plant breeders evaluate newly developed inbred lines using multi‐environment trials to account for genotype‐by‐environment interaction effects. The replication of hybrids across environments in these trials impacts the training data accuracy for developing genomic prediction models. This study examined the impact of resource allocation scenarios on genomic prediction accuracy using a multi‐environment trial dataset generated using inbred lines crossed to multiple testers. A total of 369 Stiff Stalk double haploid lines from a synthetic mapping population were testcrossed to three non‐Stiff Stalk inbred lines as testers, PHZ51, PHK76, and PHP02, and evaluated across 34 environments by the Genomes to Fields Initiative in 2020 and 2021. Resource allocation scenarios significantly impacted site‐specific genomic prediction accuracy for unobserved hybrids in unobserved environments. A training set with three to five environments that had the highest quality data produced similar prediction accuracy as data from 10 random environments for both observed and unobserved hybrids, indicating that strong prediction models can be built with a limited set of environments for both grain yield and plant height. We found that resource‐efficient prediction models that use data from one tester and three to five environments can effectively conduct selection of untested hybrids and in untested environments. Public research programs are often limited in testing capacity, and this study provides support for genomic selection in resource‐limited breeding programs. Core Ideas: Plant breeding programs using genomic selection strive to maximize genetic gain per plot unit of training data.The distribution of resources within a hybrid breeding program significantly impacts genomic prediction accuracy.Accurate genomic prediction models can be produced using data from five or fewer locations.Training data from environments with the greatest heritability led to the highest genomic prediction accuracy.Plant breeding programs with limited budgets can build prediction models using resource‐efficient training sets. [ABSTRACT FROM AUTHOR]

Summary: In plants, growth and defence are controlled by many molecular pathways that are antagonistic to one another. This results in a 'growth‐defence trade‐off', where plants temporarily reduce growth in response to pests or diseases. Due to this antagonism, genetic variants that improve resistance often reduce growth and vice versa. Therefore, in natural populations, the most disease resistant individuals are often the slowest growing. In crops, slow growth may translate into a yield penalty, but resistance is essential for protecting yield in the presence of disease. Therefore, plant breeders must balance these traits to ensure optimal yield potential and yield stability. In crops, both qualitative and quantitative disease resistance are often linked with genetic variants that cause yield penalties, but this is not always the case. Furthermore, both crop yield and disease resistance are complex traits influenced by many aspects of the plant's physiology, morphology and environment, and the relationship between the molecular growth‐defence trade‐off and disease resistance‐yield antagonism is not well‐understood. In this article, we highlight research from the last 2 years on the molecular mechanistic basis of the antagonism between defence and growth. We then discuss the interaction between disease resistance and crop yield from a breeding perspective, outlining the complexity and nuances of this relationship and where research can aid practical methods for simultaneous improvement of yield potential and disease resistance. [ABSTRACT FROM AUTHOR]

The Netherlands has a world-leading position in potato breeding, but little is known about the factors that led to this success. This paper analyses the factors that have influenced the development of potato breeding in the Netherlands. This study is based on research of the grey and scientific literature and interviews with various representatives from the Dutch potato breeding sector. We distinguish four periods: (i) Before 1888, no potato breeding in the Netherlands existed whereas in other countries first crosses occurred. (ii) 1888–1940, more individuals started breeding out of interest and hobby to overcome the commonly observed degeneration of potato. (iii) 1940–1967 the emergence of a corporate set up of breeding by private companies collaborating with small breeders. (iv) 1967–present, towards full-fledged breeding industry supported by the new Seeds and Planting Materials Act (ZPW) in 1967 including the breeders' rights. Many factors including cultural practices, diseases, and market that determine the strategy of breeding have been analysed. The development is most of all 'crop driven' to maintain the level of production. But it was also 'export driven' leading to the development of an export-oriented seed potato sector. The conclusion is that three elements were dominant in the development of a strong potato breeding sector: (1) the broad cooperation among all players in the potato chain, (2) the design of the institutional infrastructure, and (3) the remuneration of the breeding work through legislation regarding plant breeders' rights. The study ends with an outlook on future trends, one of them leading from an open to a more closed business culture. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Plant Production is the property of Egyptian National Agricultural Library (ENAL) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Simple Summary: Four Vietnamese breeding lines (2 Japonica and 2 Indica) were directly compared in field settings for phenotypic traits associated with yield. These Vietnamese rice genomes were newly de novo assembled and annotated, and a phylogenetic analysis of the phytochrome C (phyC) confirmed the positioning and diversity between the four varieties. The four lines showed enough phenotypic and genetic differences to be used as parental lines for climate-adaptation breeding programs. This study begins by examining phenotypic variations in field growth among four parental Vietnamese rice lines, consisting of two Indica (PD211/GL37) and two Japonica (J23/SRA2-1) cultivars, which differ in life-cycle durations. Their phenotypic observations revealed both similarities and differences in growth patterns and field responses, setting the stage for further genomic investigation. We then focused on the sequencing and de novo genome assembly of these lines using high-coverage Illumina sequencing and achieving pseudochromosome assemblies ranging between 379 Mbp and 384 Mbp. The assemblies were further enhanced by annotation processes, designating between 44,427 and 48,704 gene models/genome. A comparative genomic analysis revealed that the Japonica varieties (J23/SRA2-1) exhibited more genetic similarity than the Indica varieties (PD211/GL37). From this, a phylogenetic analysis on the phytochrome C (phyC) gene distinctly positions the Indica and Japonica lines within their respective clades, affirming their genetic diversity and lineage accuracy. These genomic resources will pave the way for identifying quantitative trait loci (QTLs) critical for developing rice cultivars with shorter life cycles, thus enhancing resilience to adverse climatic impacts in Vietnam. This study provides a foundational step towards leveraging genomic data for rice breeding programs aimed at ensuring food security in the face of climate change. [ABSTRACT FROM AUTHOR]

The three 31 nucleotide minihelix tRNA evolution theorem describes the evolution of type I and type II tRNAs to the last nucleotide. In databases, type I and type II tRNA V loops (V for variable) were improperly aligned, but alignment based on the theorem is accurate. Type II tRNA V arms were a 3′-acceptor stem (initially CCGCCGC) ligated to a 5′-acceptor stem (initially GCGGCGG). The type II V arm evolved to form a stem–loop–stem. In Archaea, tRNALeu and tRNASer are type II. In Bacteria, tRNALeu, tRNASer, and tRNATyr are type II. The trajectory of the type II V arm is determined by the number of unpaired bases just 5′ of the Levitt base (Vmax). For Archaea, tRNALeu has two unpaired bases, and tRNASer has one unpaired base. For Bacteria, tRNATyr has two unpaired bases, tRNALeu has one unpaired base, and tRNASer has zero unpaired bases. Thus, the number of synonymous type II tRNA sets is limited by the possible trajectory set points of the arm. From the analysis of aminoacyl-tRNA synthetase structures, contacts to type II V arms appear to adjust allosteric tension communicated primarily via tRNA to aminoacylating and editing active sites. To enhance allostery, it appears that type II V arm end loop contacts may tend to evolve to V arm stem contacts. [ABSTRACT FROM AUTHOR]

Cucurbita moschata varieties grown in Africa have very low yield. They have been neglected, and totally ignored in agricultural research programs. However, interest in their fruits, seeds, flowers and leaves is growing nowadays due to their nutritional and medicinal potentials. That growing interest has prompted plant breeders and agronomists to develop research programs for their improvement. A complete diallel cross analysis of four parental lines, Long, Zouan-H, Oval, and Soubre and their twelve F1 hybrids, was carried out in a farming environment at the University Nangui Abrogoua, Abidjan, Côte d'Ivoire. The four parental lines and the F1 hybrids were evaluated for their general performances, combining abilities, potency ratio and heterosis effects. The investigated traits included plant height, and eleven fruit- and seed-related characters. The analysis of variance showed significant differences for all traits studied. In addition, the diallel model yielded highly significant gca effects of the female parents. The gca effects of the male parents were significant for all traits except plant height, length of the fruit, width of the fruit and length of the seed. Highly significant sca effects were observed in the crosses for all the traits. Strong maternal effects were observed for the weight and diameter of the fruit, weight of the pulp, number of seeds per fruit, weight of the fresh seeds and 100-seed weight. The general predictive ratio approached the value 1 for all the traits except weight of the fresh seed and width of the dry seed. Most of the characters under this study are predominantly determined by the effects of additive genes. But, weight of the fresh seed and width of the dry seed may be controlled by non-additive genes. Mid-parent heterosis was significant for all measured traits in the crosses, except the length of the fruit. And better-parent heterosis was significant for all traits except plant height, number of fruits per plant and length of the fruit. Gene expression is described by a super-dominance for many traits, and partial dominance for some other traits in all twelve F1 hybrids. Classification of the parental lines based on the effects of their general combining ability grouped the Soubre lines as promising contributors to fruit yield. The parental lines Long and Oval formed another group likely on the basis of the small size of their fruits, the small pulps, the smaller number of fruits per plant and the large number of seeds per fruit. However, Long would be a candidate parent for the development of cultivars with longer vegetative growth. The parental line Zouan-H formed the third group and it was mostly characterized by its large number of seeds per fruit and relatively large fruits. [ABSTRACT FROM AUTHOR]

Diversifying and perennializing cropping systems can increase productivity while supporting ecosystem services such as soil protection, nutrient retention, and greenhouse gas mitigation. New crops can help achieve these goals, and advanced computational tools allow plant breeders to rapidly domesticate new crops and select for many traits that support both ecosystem services and profitable production. Intermediate wheatgrass [Thinopyrum intermedium (Host.) Barkworth. & D.R. Dewey; IWG] is a cool‐season perennial grass undergoing domestication to function as a perennial grain crop. Key aboveground domestication traits have been improved to support economically viable yields using genomic selection. However, few studies have quantified belowground traits despite their potential role in conferring ecosystem services. We present a platform for using minirhizotron cameras and machine learning software to analyze rhizotron images for inclusion in genomic selection models. The strength and direction of pairwise correlations between traits were variable with correlation coefficients (r) ranging from −0.27 to 0.99. Grain yield was positively, although weakly, correlated with total root length, area, and volume (r = 0.21, 0.21, and 0.19, respectively). Estimates of narrow sense heritabilities ranged from 0.41 to 0.76 for all traits and 0.46 to 0.66 for root traits. Root trait predictions using a genomic prediction model, measured by correlating model‐predicted values and field‐observed values, ranged from 0.08 to 0.23. Aboveground traits were better predicted (0.17 < r < 0.33). Simply selecting for aboveground traits could result in populations with desirable root traits, but our results demonstrate the potential for genomic selection to aid in advancing populations with specific root traits important for ecosystem services. [ABSTRACT FROM AUTHOR]

Background: Sesame is an ancient oilseed crop of India popular for its drought resistance and stable healthy oil which is easy to extract. Information regarding the genetic association of plant traits with grain yield is of great importance to breeders in selecting suitable genotypes. Hence, the present study is based on simple measures of variability and genetic variance to identify suitable genotypes for further improvement. Methods: The experiment was carried out at Student's Farm, Department of Agriculture, Loyola Academy, Secunderabad during Kharif 2021. Sixty genotypes of the Sesamum crop were studied for 13 quantitative and qualitative traits. Result: Analysis of variance revealed that the genotypes were significant (P 0.05 and P 0.01) for all of the traits studied. A positive significant correlation at the genotypic level was observed for the character 1000 seed weight (0.222) with grain yield. A positive correlation between desirable traits is encouraging to the plant breeder as it helps in the simultaneous improvement of both traits. Positive direct effects were highest for the character 1000 seed weight (0.866) followed by the number of capsules per axil (0.660) on grain yield. This study would help to select the genotypes that have a strong association among traits. [ABSTRACT FROM AUTHOR]

Participatory plant breeding (PPB) is a collaborative process between farmers, plant breeders and researchers to create germplasm specifically bred for target environments. We sought to examine the yield performance and adaptability of genotypes from an organic PPB wheat programme under organic management across the Canadian prairies. We evaluated 25 farmer genotypes and 6 commercial cultivars in locations in Alberta, Saskatchewan and Manitoba, totalling 12 organic environments. The top performers most responsive to higher yield environments were three farmer genotypes (BL34‐SW, BL43C‐TM and BJ13‐GW) and one check cultivar (Vesper). Genotype plus genotype by environment (GGE) biplot analysis indicated that one farmer genotype (BL23‐AS) and one check cultivar (Vesper) demonstrated high yield and greater organic adaptation than other genotypes tested. Two registered cultivars (AAC Brandon and Jake) had low yield and poor adaptation, as did one farmer genotype (PWA10B‐LD). Yield was positively and strongly correlated with height, anthesis and mature biomass and kernel number per unit area. The results provide evidence that early generation farmer selection is an effective breeding strategy for discovering wheat genotypes with high yield and excellent adaptability to organic production systems in Canada. [ABSTRACT FROM AUTHOR]

In China, PBR (Plant Breeder's Right) applications of chrysanthemum rank first among all of the applications of ornamental crops in China due to the plant's significant ornamental, edible, and medicinal values. However, issues of variety infringement and disputes have become increasingly prominent, and traditional molecular markers are difficult to use due to the high heterozygosity and complex ploidy of chrysanthemum. Our study explored the availability of MNP (Multiple Nucleotide Polymorphism) markers in this regard. In total, 30 representative varieties of five types were selected for the screening of MNPs, and another 136 varieties were selected for validation of the screened MNPs. Based on ddRAD-seq (Double Digest Restriction site-associated DNA sequencing) of the 30 varieties, 26,147 SNPs were screened for genetic analysis，and 487 MNPs were screened with a length from 139 to 274 bp, an average of 6.6 SNPs individually, and a repeatability rate of 99.73%. Among the 487 MNPs, 473 MNP markers were found to cover all 27 chromosomes of chrysanthemum. Performance of our MNPs in the 136 varieties was similar to those in the 30 varieties, where the average Ho (observed heterozygosity) was 71.48%, and the average DP (discriminative power) was 82.77%, preliminarily indicating the stability of the 487 MNPs. On the other hand, clustering results based on the 487 MNPs were also generally consistent with those based on the 26,147 SNPs, as well as those based on phenotypic traits, and initial grouping, likewise, further indicating the robust capability of our MNPs in variety discrimination, which is similar to their correspondence with numerous SNPs. Therefore, our MNP markers have great potential in the accurate and rapid identification of chrysanthemum varieties, and, accordingly, in fostering breeding innovation and promoting chrysanthemum marketing. [ABSTRACT FROM AUTHOR]

Hollyhock (Alcea rosea L.) is an aromatic, ornamental/medicinal plant species for which the selection of drought-tolerant varieties based on physio-chemical traits is desirable. The data presented resulted from a field experiment. This experiment was designed as a split-plot, based on a randomized complete block design, in which the main plots consisted of the three irrigation regimes (30, 60 and 80% permissible discharge moisture available in the soil), and the subplots consisted of nine hollyhock varieties. Photosynthetic pigments, Fv/Fm, proline content and selected antioxidant enzymes were measured throughout the period of induced drought stress. The data obtained illustrate the nature of the physiological response of hollyhock to drought stress. Based on the measured traits the varieties Isfahan 1, Shiraz 1 and Tabriz were shown to display the highest degree of resistance to drought stress. These data suggest that the effect of drought stress is dependent upon the drought level, variety and the trait in question. In this regard, future plant breeders for this species may find it useful to utilize ascorbate peroxidase (APX), catalase (CAT) and guayacol peroxidase (POX) activities as biochemical markers to select for drought-tolerant genotypes. As such, hollyhock can be considered a promising ornamental/medicinal species for cultivation in semi-arid environments. [ABSTRACT FROM AUTHOR]

Genetic gains made by plant breeders are limited by generational cycling rates and flowering time. Several efforts have been made to reduce the time to switch from vegetative to reproductive stages in plants, but these solutions are usually species-specific and require flowering. The concept of in vitro nurseries is that somatic plant cells can be induced to form haploid cells that have undergone recombination (creating artificial gametes), which can then be used for cell fusion to enable breeding in a Petri dish. The induction of in vitro meiosis, however, is the largest current bottleneck to in vitro nurseries. To help overcome this, we previously described a high-throughput, bi-fluorescent, single cell system in Arabidopsis thaliana, which can be used to test the meiosis-like induction capabilities of candidate factors. In this present work, we validated the system using robust datasets (>4M datapoints) from extensive simulated meiosis induction tests. Additionally, we determined false-detection rates of the fluorescent cells used in this system as well as the ideal tissue source for factor testing. [ABSTRACT FROM AUTHOR]

Plant breeders utilize marker-assisted selection (MAS) to identify favorable or unfavorable alleles in seedlings early. In this task, they need methods that provide maximum information with minimal input of time and economic resources. Grape breeding aimed at producing cultivars resistant to pathogens employs several resistance loci (Rpv, Ren, and Run) that are ideal for implementing MAS. In this work, a sustainable MAS protocol was developed based on non-purified DNA (crude), multiplex PCR of SSR markers, and capillary electrophoresis, and its application on grapevine seedlings to follow some main resistance loci was described. The optimized protocol was utilized on 8440 samples and showed high efficiency, reasonable throughput (2–3.2 min sample), easy handling, flexibility, and tolerable costs (reduced by at least 3.5 times compared to a standard protocol). The Rpv, Ren, and Run allelic data analysis did not show limitations to loci combination and pyramiding, but segregation distortions were frequent and displayed both low (undesired) and high rates of inheritance. The protocol and results presented are useful tools for grape breeders and beyond, and they can address sustainable changes in MAS. Several progenies generated have valuable pyramided resistance and will be the subject of new studies and implementation in the breeding program. [ABSTRACT FROM AUTHOR]

Plant breeders leverage mutagenesis using chemical, biological, and physical mutagens to create novel trait variations. Many widely used sorghum genotypes have a narrow genetic base, which hinders improvements using classical breeding. Enhancing the diversity of the sorghum genome thus remains a key priority for sorghum breeders. To accelerate the genetic enhancement of sorghum, an extensive library comprised of seeds from 150,000 individual mutant plants of the Sorghum bicolor inbred line BTx623 was established using ethyl methanesulphonate (EMS) as a mutagen. The sorghum mutant library was bulked into 1498 pools (~100 seed heads per pool). In each pool, DNA was extracted from a subset of the seed and screened using the FIND‐IT technology based on droplet digital PCR. All 43 nucleotide substitutions that were screened using FIND‐IT were identified, demonstrating the potential to identify any EMS‐derived mutation in an elite line of sorghum within days. This diverse library represents the largest collection of sorghum mutants ever conceived, estimated to cover 240% of all possible EMS‐induced mutation points within the Sorghum genome. Using FIND‐IT, the speed at which a specific desired EMS‐derived mutation can be identified is a major upgrade to conventional reverse genetic techniques. Additionally, the ease at which valuable variants can be integrated into elite commercial lines is a far simpler and less expensive process compared to genome editing. Genomic variations in the library will have direct utility as a breeding resource for commercial sorghum applications, allowing enhanced adaptation to climate change and enhanced yield potential in marginal environments. [ABSTRACT FROM AUTHOR]

The objective of this study was to evaluate the genetic effects involved in post-harvest water loss of C. baccatum fruits and to correlate fruit morphological characteristics. Fruits of eight landraces of C. baccatum and their twenty-eight hybrids were evaluated in a randomized, complete block design. Analysis of variance, diallel analysis, phenotypic and genotypic correlation, and path analysis for eight fruit traits were performed. Fruit width, fruit length, dry matter content, and fruit wall thickness were determined by additive gene effects. On the other hand, the non-additive effects played more important role than additive ones, including water loss, cuticle thickness, exocarp thickness, and total soluble solids. The relationship of fruit traits suggested that indirect selection can be carried out from field experiments under different environmental conditions. Overall, genitors 4, 24, 50, and 56 should be selected to form new populations to improve these traits. The Brazilian pepper landraces of C. baccatum species are a source of genetic variability for plant breeders, and the new segregating populations emerging through the crossing of pepper lines with reduced water loss should be developed, opening new ways for conventional breeding. [ABSTRACT FROM AUTHOR]

Plant breeding is a multidisciplinary applied science that is crucial for enhancing food, fodder, fuel, and fiber production globally. Using detailed surveys in three Organisation for Economic Co‐operation and Development countries, this study investigated the current state of the plant breeding sector across tertiary, government, and industry levels. The findings highlight increasing concerns about the shortage of trained plant breeders, especially in the private sector, impacting food security and the economy. The need for a coordinated approach between the public and private sectors is emphasized. Suggestions for improvements include the establishment of dedicated training facilities, national funds for graduate fellowships, and increased private sector involvement in plant breeding education. The importance of adapting plant breeding courses to emerging scientific and technological advancements is highlighted, along with industry‐relevant training and improved promotion of the sector. The study raises awareness of the global shortage of trained plant breeders and provides valuable insights for decision makers toward strategic planning to address global food and fiber production challenges. Core Ideas: Raises awareness of the global shortage of trained plant breeders.Provides valuable insights for decision‐makers toward strategic planning to address global production challenges.The findings highlight increasing concerns about the shortage of trained plant breeders.The importance of adapting plant breeding courses to emerging scientific and technological advancements is discussed. [ABSTRACT FROM AUTHOR]

In order to rapidly adapt to the evolving climate and sustainably nourish the growing global population, plant breeders are actively investigating more efficient strategies to enhance crop yields. In this study, we present the development of a bread wheat mapping population and backcross breeding program, serving as a valuable genetic resource for mapping the effects of different alleles on trait performance. We employed innovative methodologies to rapidly introgress traits into the bread wheat cultivar. Specifically, we utilized two parents, including Tosunbey x Tahirova2000, in a recombinant inbred line population, in addition, a backcross strategy was applied with line 148 (obtained by crossing Tosunbey x Tahirova2000 with high gluten quality) as the recipient parent of the Nevzatbey cv., known for its awnless feature. The two most important applications of the rapid breeding method are extending the light period and breaking dormancy in early harvested seeds. Both applications were successfully implemented in our study. Our vegetation periods ranging from approximately 50–60 days. Additionally, an early genotype in our developed population was harvested in 40 days. Considering that the genotype underwent a 15-day vernalization period, the generation cycle, including vernalization, drying, and refrigeration, was completed in a total of 64 days. Notably, we employed not only biochemical markers for selection but also incorporated the rapid generation advance technology known as 'speed breeding', allowing us to develop BC5F1 within a span of two years. We posit that this approach proves instrumental in swiftly transferring genes for multiple target traits into adapted wheat cultivars or in pyramiding desirable traits within elite breeding material. [ABSTRACT FROM AUTHOR]

Genetic resistance is the most economical and efficient way to reduce production losses brought on by diseases. Plant breeders continuously incorporate new, dependable sources into their breeding materials to continue developing disease-resistant genotypes. Fourteen certified wheat (Triticum aestivum L.) cultivar (Bahawalpur-2000, NIFA-Bathor08, Fareed-2006, Haider-2002, Imdad-2005, Lasani-2008, Marvi-2000, Moomal-2000, Manther-2003, Pirsabak-2006, Iqbal-2000, Pirsabak-2004, Shahkar-2013, and Wafaq-2002) seeds from the Nuclear Institute for Food and Agriculture (NIFA) and National Agriculture Research Center (NARC) were grown in pots. DNA obtained from fresh leaves of the wheat cultivars were screened for leaf rust resistance genes (i.e. Lr-51, Lr-47, Lr-46, Lr-37, Lr-36, Lr-35, Lr-34, Lr-28, Lr-25, Lr-19, Lr-13, Lr-9, and Lr-1 using PCR. Results showed that the Lr-47 gene was present in nine wheat cultivars, Lr-1 and Lr-28 in eight, Lr-5, Lr-9, and Lr-13 in three, and Lr-19 and Lr-37 in one cultivar. In the selected wheat cultivars, the resistance genes Lr-25, Lr-35, Lr-36, and Lr-46 were not observed. This study suggests cultivating wheat varieties Haider-2002, Iqbal-2000, Lasani-2008, Manther-2003, Pirsbak-2004, Pirsbak-2006, Shahkar-2013, and Wafaq-2002 for high level of resistance to rust and protection against high production losses. In future studies, phenotypic data alongside genotypic screening will improve the assessment of leaf rust resistance in wheat cultivars, leading to a better understanding of their disease resistance profiles. [ABSTRACT FROM AUTHOR]

Copyright of Revista E-mercatoria is the property of Universidad Externado de Colombia, Departamento de Derecho Comercial and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Chemistry & Biotechnology is the property of Egyptian National Agricultural Library (ENAL) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Pineapple is a globally significant tropical fruit, but its cultivation faces numerous challenges due to abiotic and biotic stresses, affecting its quality and quantity. WRKY transcription factors are known regulators of stress responses, however, their specific functions in pineapple are not fully understood. This study investigates the role of AcWRKY31 by overexpressing it in pineapple and Arabidopsis. Transgenic pineapple lines were obtained using Agrobacterium-mediated transformation methods and abiotic and biotic stress treatments. Transgenic AcWRKY31-OE pineapple plants showed an increased sensitivity to salt and drought stress and an increased resistance to biotic stress from pineapple mealybugs compared to that of WT plants. Similar experiments in AcWRKY31-OE, AtWRKY53-OE, and the Arabidopsis Atwrky53 mutant were performed and consistently confirmed these findings. A comparative transcriptomic analysis revealed 5357 upregulated genes in AcWRKY31-OE pineapple, with 30 genes related to disease and pathogen response. Notably, 18 of these genes contained a W-box sequence in their promoter region. A KEGG analysis of RNA-Seq data showed that upregulated DEG genes are mostly involved in translation, protein kinases, peptidases and inhibitors, membrane trafficking, folding, sorting, and degradation, while the downregulated genes are involved in metabolism, protein families, signaling, and cellular processes. RT-qPCR assays of selected genes confirmed the transcriptomic results. In summary, the AcWRKY31 gene is promising for the improvement of stress responses in pineapple, and it could be a valuable tool for plant breeders to develop stress-tolerant crops in the future. [ABSTRACT FROM AUTHOR]

The Plant Variety Rights Act of Aotearoa New Zealand (PVR Act), recently reformed in 2022, adopts new protections for Indigenous relations with native and culturally significant plants, and for traditional knowledge. The Act specifically aims to protect kaitiaki (guardian or caretaker) relationships that Māori have with taonga (treasured, culturally significant) plant species and mātauranga Māori (Indigenous knowledge) in the PVR system. By taking these reforms into account and examining how they may operate in practice, this article considers whether the PVR Act fulfils the constitutional obligations the government owes to Māori under the Treaty of Waitangi | Te Tiriti o Waitangi framework. In addition to conducting a doctrinal assessment of the revised statute, the article undertakes an intellectual property landscape analysis, revealing how PVR systems, both domestically and overseas, have been used by non‐Māori entities to assert ownership claims to varieties of taonga plants in the past. The article further draws upon a third research methodology, presenting initial results from qualitative interviews conducted with Māori and non‐Māori experts in intellectual property, taonga plants, and mātauranga Māori. Synthesising the results of these three forms of investigation, the article argues that while some of the changes made in the PVR Act support the exercise of partial Māori authority in relation to taonga, it remains to be seen whether the Treaty promise of tino rangatiratanga (chieftainship, sovereignty, or self‐determination) can be fully achieved in the PVR system. [ABSTRACT FROM AUTHOR]

Plant breeders want to develop cultivars that outperform existing genotypes. Some characteristics (here 'main traits') of these cultivars are categorical and difficult to measure directly. It is important to predict the main trait of newly developed genotypes accurately. In addition to marker data, breeding programs often have information on secondary traits (or 'phenotypes') that are easy to measure. Our goal is to improve prediction of main traits with interpretable relations by combining the two data types using variable selection techniques. However, the genomic characteristics can overwhelm the set of secondary traits, so a standard technique may fail to select any phenotypic variables. We develop a new statistical technique that ensures appropriate representation from both the secondary traits and the genotypic variables for optimal prediction. When two data types (markers and secondary traits) are available, we achieve improved prediction of a binary trait by two steps that are designed to ensure that a significant intrinsic effect of a phenotype is incorporated in the relation before accounting for extra effects of genotypes. First, we sparsely regress the secondary traits on the markers and replace the secondary traits by their residuals to obtain the effects of phenotypic variables as adjusted by the genotypic variables. Then, we develop a sparse logistic classifier using the markers and residuals so that the adjusted phenotypes may be selected first to avoid being overwhelmed by the genotypic variables due to their numerical advantage. This classifier uses forward selection aided by a penalty term and can be computed effectively by a technique called the one-pass method. It compares favorably with other classifiers on simulated and real data. [ABSTRACT FROM AUTHOR]

Climate change biotic and abiotic stressors lead to unpredictable crop yield losses, threatening global food and nutritional security. In the past, traditional breeding has been instrumental in fulfilling food demand; however, owing to its low efficiency, dependence on environmental conditions, labor intensity, and time consumption, it fails to maintain global food demand in the face of a rapidly changing environment and an expanding population. In this regard, plant breeders need to integrate multiple disciplines and technologies, such as genotyping, phenotyping, and envirotyping, in order to produce stress-resilient and high-yielding crops in a shorter time. With the technological revolution, plant breeding has undergone various reformations, for example, artificial selection breeding, hybrid breeding, molecular breeding, and precise breeding, which have been instrumental in developing high-yielding and stress-resilient crops in modern agriculture. Marker-assisted selection, also known as marker-assisted breeding, emerged as a game changer in modern breeding and has evolved over time into genomics-assisted breeding (GAB). It involves genomic information of crops to speed up plant breeding in order to develop stress-resilient and high-yielding crops. The combination of speed breeding with genomic and phenomic resources enabled the identification of quantitative trait loci (QTLs)/genes quickly, thereby accelerating crop improvement efforts. In this review, we provided an update on rapid advancement in molecular plant breeding, mainly GAB, for efficient crop improvements. We also highlighted the importance of GAB for improving biotic and abiotic stress tolerance as well as crop productivity in different crop systems. Finally, we discussed how the expansion of GAB to omics-assisted breeding (OAB) will contribute to the development of future resilient crops. [ABSTRACT FROM AUTHOR]

The renowned horticultural artist and plant breeder Luther Burbank worked with many species of plants. During his 50-year career, he introduced more than 800 cultivars, including more than 150 accessions of plums (Prunus spp.) in the late 1800s and early 1900s. Burbank preferred using wide, interspecific crosses to create a vast range of phenotypic variation and then artificially select from the extremes. Although a great artist, Burbank was a substandard scientist because he was derelict in pedigree note-taking. Although many of his introductions are extinct, hobbyists, enthusiasts, and international collections retain nearly a third of the economically viable cultivars he bred. For a century, many of his hybridizations remained inscrutable mysteries until modern genomic and computational tools developed their resolution and statistical power. Today, genotyping by sequencing (GBS) is a useful tool for pedigree reconstruction in the absence of reliable records. GBS can inform principal component analyses, identity by descent (IBD) kinship, and phylogenetic admixture, revealing complex relationships among taxa. In this study, whole genome sequencing was performed on 53 Prunus taxa used by Burbank in his breeding experiments in the most comprehensive genetic survey of his work to date. Exact parent-offspring relationships between this population may be impossible to discern due to years of back crossing, sibling mating, and open pollination. However, the proportion of genomic similarity among these taxa provides information on the relatedness of the genotypes in Burbank's Prunus experiments, defining four primary lineages within his breeding population. These lineages comprised primarily P. salicina and P. simonii but also have influences from P. americana, P. cerasifera, P. domestica, and P. rivularis. The prevalence of P. simonii in Burbank's Prunus introductions appears to have been vastly underreported, indicating that some of the seedstock founders of his breeding population could have been P. salicina × P. simonii hybrids at the inception of his career. This research has implications for pedigree reconstruction and prioritizing conservation in collections curation for future studies. [ABSTRACT FROM AUTHOR]

The site regression model (SREG) is utilized by plant breeders for analyzing multi-environment trials (MET) to examine the relationships among test environments, genotypes (G), and genotype-by-environment interactions (GE). SREG explores a matrix of G and GE by performing a singular value decomposition on the residuals matrix from a one-way ANOVA, requiring complete data. As missing values are common in MET, we propose two new imputation methods that implement an Expectation Maximization algorithm to fit the SREG model. To evaluate the impact on SREG model parameter estimation of these proposed methods and other competing imputation methods available, we conducted two studies using different approaches. One study involved simulated data while the other used a real dataset. In both studies, different measures to verify whether the joint effect of G plus GE is altered by imputation of data, and the reproducibility of missing data were evaluated. We also incorporated situations not commonly addressed in the literature, such as non-random structures of missing values and a big data situation. The proposed procedures provided estimators with good performance, maintaining superiority in several aspects studied, even when the competing imputation methods did not achieve convergence. Therefore, the new methods enabled incomplete MET data to be effectively analyzed by a SREG model. [ABSTRACT FROM AUTHOR]

As climate changes and a growing global population continue to escalate the need for greater production capabilities of food crops, technological advances in agricultural and crop research will remain a necessity. While great advances in crop improvement over the past century have contributed to massive increases in yield, classic breeding schemes lack the rate of genetic gain needed to meet future demands. In the past decade, new breeding techniques and tools have been developed to aid in crop improvement. One such advancement is the use of speed breeding. Speed breeding is known as the application of methods that significantly reduce the time between crop generations, thereby streamlining breeding and research efforts. These rapid-generation advancement tactics help to accelerate the pace of crop improvement efforts to sustain food security and meet the food, feed, and fiber demands of the world's growing population. Speed breeding may be achieved through a variety of techniques, including environmental optimization, genomic selection, CRISPR-Cas9 technology, and epigenomic tools. This review aims to discuss these prominent advances in crop breeding technologies and techniques that have the potential to greatly improve plant breeders' ability to rapidly produce vital cultivars. [ABSTRACT FROM AUTHOR]

Plant Breeders have the critical challenge of increasing the productivity of bread wheat as a result of several environmental challenges particularly terminal heat stress which affects the plant especially at reproductive stage. In the present investigation, the physiological and biochemical responses of 51 advanced breeding lines of bread wheat developed by ICAR-IIWBR, Karnal, India, along with 5 national check varieties (DBW14 and WR544 as tolerant check, whereas HD2967, RAJ3765, and Sonalika as a susceptible check) have been documented. The field experiment was carried out at 'AB' block farm of Bidhan Chandra Krishi Viswavidyalaya (BCKV), Kalyani, West Bengal, India, in three consecutive years during rabi season from 2017–2018 to 2019–2020. The expression of two stress-associated genes viz., HSP90 and WRKY72a were also assessed under terminal heat stress in selected superior lines concerning physico-biochemical responses. Reduction in relative water content (17.94%), chlorophyll content (0.16%), membrane stability index (6.62%) and pollen viability (7.5%), whereas increases in proline (77.64%) and Malondialdehyde content (2.49%) were observed due to exposure to terminal heat. A significant increase in expression profiling (~ 1.45-fold increase in HSP90 gene and ~ 1.6-fold of WRKY72a) was observed in all selected terminal heat-tolerant genotypes. Based on the clustering pattern with tolerant check, as well as considering the heat susceptibility index (HSI < 0.5) 7 breeding lines viz., NEST17.15, NEST17.26, NEST17.17, NEST17.35, NEST17.14, NEST17.43, NEST17.22 were identified as the potent terminal heat-tolerant lines which could be utilized for developing wheat varieties to combat with forthcoming climate vagaries. [ABSTRACT FROM AUTHOR]

Post-harvest losses during cereal grain storage are a big concern in both developing and developed countries, where spring and durum wheat are staple food grains. Varieties under these classes behave differently under storage, which affects their end storage life. High resolution imaging data of dry as well as spoiled seed are not available for any class of wheat; therefore, an attempt was made to generate 3D data for better understanding of seed structure and changes due to spoilage. Six wheat varieties (3 varieties for each class of wheat) were stored for 5 week at 17% moisture content (wb) before scanning. Seeds were also stored in a freezer (-18 °C) for further scanning to determine if any changes occur in the structure of seeds due to freezing. Spring varieties of wheat performed better than durum varieties and freezing did not affect seed structure. Data could also help plant breeders to develop varieties that do not easily spoil, adjust grain processing techniques, and develop post-harvest recommendations for other wheat varieties. [ABSTRACT FROM AUTHOR]

Purple coneflower is an introduced herbal plant that has anti-inflammatory and antibiotic benefits. The pharmaceutical industry is currently starting to develop the use of herbal plants as medicinal raw materials, including this plants. Indonesia has started cultivating purple coneflower but it is only cultivated in the highlands which have low temperatures. The one method of plant breeders to expand plant adaptation in high temperature environments without reducing the content of secondary metabolites is by using gamma ray irradiation. This study aims to determine the effect of gamma ray irradiation on the diversity of growth, yield and flavonoid content of purple coneflower. Purple coneflower was irradiated with doses of 0 Gy (control), 5 Gy, 15 Gy, and 25 Gy. The research design used simple design experiment in plots without repetition. The results show that the diversity in plant height, number of leaves and flowers, and biomass weight of the mutant plants is higher than the control. The mutant plants in dosage 15 Gy are the highest in diversity. The flavonoid content of mutant plants is lower than the control, except in dosage 25 Gy. [ABSTRACT FROM AUTHOR]

Context: Long-term multi-environment trials (METs) could improve genomic prediction models for plant breeding programs by better representing the target population of environments (TPE). However, METs are generally highly unbalanced because genotypes are routinely dropped from trials after a few years. Furthermore, in the presence of genotype × environment interaction (GEI), selection of the environments to include in a prediction set becomes critical to represent specific TPEs. Aims: The goals of this study were to compare strategies for modelling GEI in genomic prediction, using large METs from oat (Avena sativa L.) breeding programs in the Midwest United States, and to develop a variety decision tool for farmers and plant breeders. Methods: The performance of genotypes in TPEs was predicted by using different strategies for handling GEI in genomic prediction models including systematic and/or random GEI components. These strategies were also used to build the variety decision tool for farmers. Key results: Genomic prediction for unknown genotypes, locations and years within TPEs had moderate to high predictive ability, accuracy and reliability. Modelling GEI was beneficial in small, but not in large, mega-environments. The latest 3 years were highly predictive of performance in an upcoming year for most years but not for years with unusual weather patterns. High predictive ability, accuracy and reliability were obtained when large datasets were used in TPEs. Conclusions: Deployment of historical datasets can be accomplished through meaningful delineation and prediction for TPEs. Implications: We have shown the performance of a simple modelling strategy for handling prediction for TPEs when deploying large historical datasets. Rankings of genotypic performance may change from one environment to the next, creating genotype × environment interaction (GEI), which can impact genomic prediction and complicate identification of superior genotypes. We compared strategies for predicting the performance of individuals in the presence of GEI. The results provide useful tools for the optimisation of training populations and testing environments for the prediction of individuals in the targeted populations of environments. [ABSTRACT FROM AUTHOR]

Plant diseases cause famines, drive human migration, and present challenges to agricultural sustainability as pathogen ranges shift under climate change. Plant breeders discovered Mendelian genetic loci conferring disease resistance to specific pathogen isolates over 100 years ago. Subsequent breeding for disease resistance underpins modern agriculture and, along with the emergence and focus on model plants for genetics and genomics research, has provided rich resources for molecular biological exploration over the last 50 years. These studies led to the identification of extracellular and intracellular receptors that convert recognition of extracellular microbe-encoded molecular patterns or intracellular pathogen-delivered virulence effectors into defense activation. These receptor systems, and downstream responses, define plant immune systems that have evolved since the migration of plants to land ∼500 million years ago. Our current understanding of plant immune systems provides the platform for development of rational resistance enhancement to control the many diseases that continue to plague crop production. Plant diseases significantly impact human and environmental health. This review encompasses the last 50 years of research in the plant immune system, an overview of the pathogen virulence proteins, and strategies for durable resistance. [ABSTRACT FROM AUTHOR]

Sugarcane breeding for drought tolerance is a sustainable strategy to cope with drought. In addition to biotechnology, high-throughput phenotyping has become an emerging tool for plant breeders. The objectives of the present study were to (1) identify drought-tolerant cultivars using vegetation indices (VIs), compared to the traditional method and (2) assess the accuracy of VIs-based prediction model estimating stomatal conductance (Gs) and chlorophyll content (Chl). A field trial was arranged in a randomized complete block design, consisting of seven cultivars of sugarcane. At the tillering and elongation stages, irrigation was withheld, and then furrow irrigation was applied to relieve sugarcane from stress. The physiological assessment measuring Gs and Chl using a handheld device and VIs were recorded under stress and recovery periods. The results showed that the same cultivars were identified as drought-tolerant cultivars when VIs and traditional methods were used for identification. Likewise, the results derived from genotype by trait biplot and heatmap were comparable, in which TCP93-4245 and CP72-1210 cultivars were classified as tolerant cultivars, while sensitive cultivars were CP06-2400 and CP89-2143 for both physiological parameters and VIs-based identification. In the prediction model, the random forest outperformed linear models in predicting the performance of cultivars in untested crops/environments for both Gs and Chl. In contrast, it underperformed linear models in the tested crops/environments. The identification of tolerant cultivars through prediction models revealed that at least two out of three cultivars had consistent rankings in both measured and predicted outcomes for both traits. This study shows the possibility of using UAS mounted with sensors to assist plant breeders in their decision-making. [ABSTRACT FROM AUTHOR]

Evaluation of nine exotic cabbage varieties and a local variety commenced at the Research Field of the Department of Agriculture, Noakhali Science and Technology University (NSTU), Bangladesh, following a randomized complete block design (RCBD) with three replications. This study aimed to identify the most suitable exotic varieties based on morphophysiological and biochemical traits compared with a check variety. Significant variations (P < 0.01) for all the characteristics, except chlorophyll content, emerged from the study. A highly significant positive association (r ≥ 0.75) was evident for the head diameter of cabbage varieties with head width, stump thickness, core length, and weight with folded and unfolded leaves. On cluster analysis, varieties V2, V3, and V10 were in the same clusters. About the PCA, PC1 accounted for 50.29% of the total variation. However, the maximum plant diameter (65 cm) occurred in V10, and the widest leaf petiole length (8.13 cm) was visible in V3. Yet, the highest head length (13.16 cm), head diameter (19.51 cm), head width (18.33 cm), weight with unfolded leaves (2.00 kg), and weight with folded leaves (1.44 kg) appeared in V10, which are very close to V2 and V3. Also, genetic parameters estimation and heatmap analysis revealed high genetic advance and positive variation, respectively, regarding head diameter, head width, and weight with folded and unfolded leaves. Finally, V2 and V3 varieties could better serve for further genetic improvement for cabbage growers and plant breeders in Bangladesh. [ABSTRACT FROM AUTHOR]

Plant structure has a large influence on crop yield formation, with branching and plant height being the important factors that make it up. We identified a gene, MtTCP18, encoding a TEOSINTE BRANCHED1/CYCLOIDEA/PROLIFERATING CELL FACTOR (TCP) transcription factor highly conserved with Arabidopsis gene BRC1 (BRANCHED1) in Medicago truncatula. Sequence analysis revealed that MtTCP18 included a conserved basic helix–loop–helix (BHLH) motif and R domain. Expression analysis showed that MtTCP18 was expressed in all organs examined, with relatively higher expression in pods and axillary buds. Subcellular localization analysis showed that MtTCP18 was localized in the nucleus and exhibited transcriptional activation activity. These results supported its role as a transcription factor. Meanwhile, we identified a homozygous mutant line (NF14875) with a mutation caused by Tnt1 insertion into MtTCP18. Mutant analysis showed that the mutation of MtTCP18 altered plant structure, with increased plant height and branch number. Moreover, we found that the expression of auxin early response genes was modulated in the mutant. Therefore, MtTCP18 may be a promising candidate gene for breeders to optimize plant structure for crop improvement. [ABSTRACT FROM AUTHOR]

Consumer interest in foods enriched with phytochemical compounds for health benefits has prompted plant breeders to focus on developing new cultivars with an enhanced content of specific compounds. Studies regarding the exploration of germplasms of species of great economic importance, such as maize, could be useful in this task. This study aimed to assess the physical grain traits and phenolic compound variations (including anthocyanins, flavonoids, and proanthocyanidins) in blue-purple maize accessions from various Mexican races. We examined 207 accessions from 21 Mexican maize races, evaluating physical grain traits such as weight of one hundred grains (W100G), endosperm type (ET), pigment location, and grain color. Phenolic composition analysis encompassed total soluble phenolics (TSP), total anthocyanin content (TAC), flavonoids (FLAV), and proanthocyanidins (PAs). The predominant endosperm type was floury, with W100G values indicating a large grain size and the pigment primarily located in the aleurone layer. Among phenolic composition variables, only TSP exhibited a normal distribution, while others skewed towards the left side. A hierarchical analysis of phenolic composition data revealed three distinct groups comprising different numbers of Mexican varieties, with TAC proving the most effective for grouping. Our comprehensive exploration of maize diversity featuring blue-purple grain coloration has led to the identification of novel maize varieties with outstanding phenolic contents. [ABSTRACT FROM AUTHOR]

Era studies are important to understand historical changes in maize (Zea mays) germplasm and estimate genetic gains, yet information for short‐season maize hybrids is limited. Here, we determine grain yield genetic gain in Bayer short‐season hybrids (100–105 days) and investigate indirect changes made on 17 secondary traits, including yield components (kernel number, weight, and shelling efficiency), and grain quality traits (oil, protein, starch, ethanol, moisture, and test weight). We evaluated 40 maize hybrids released from 1980 to 2020 across 18 environments in the US Corn Belt. Plant density and N‐fertilizer were held constant within each environment. Results indicated a linear increase in grain yield (from 11.1 to 15.3 Mg ha−1, 105 kg ha−1 year−1, or 0.8% year−1) with no sign of a plateau. The increase in grain yield was attributed more to increased kernels per m2 (0.57% year−1) than kernel weight (0.23% year−1). Grain protein concentration decreased until the late 2000s and plateaued thereafter, while starch and ethanol concentration increased until the early 2000s and plateaued thereafter. However, the total amount of protein, starch, and ethanol increased linearly from 1980 to 2020. We concluded that maize breeding for increased grain yield has indirectly affected many traits at different rates and directions. Our results are encouraging for future progress in grain yield increase, update genetic gain information to 2020 for short‐season hybrids, and can inform plant breeders, crop physiologists, agronomists, and crop modelers. Core Ideas: We measured 18 plant traits of 40 maize hybrids across 18 experiments in the US Midwest.Grain yield linearly increased by 105 kg ha−1 year−1 from 1980 to 2020.Kernels per m2 increased at twice the relative rate compared to kernel weight.Protein concentration decreased up to 2008 and remained unchanged until 2020.Grain moisture at harvest, test weight, and oil concentration remained unchanged. [ABSTRACT FROM AUTHOR]

Genetic resources serve as the foundation of our food supply and are building blocks for the development of new crop varieties that support sustainable crop production in the face of climate change, as well as for the delivery of healthy diets to a continuously growing global population. With the encouragement of the FAO and with technical guidance and assistance from the International Board for Plant Genetic Resources (IBPGR), almost 2000 genebanks have been established worldwide for the ex situ conservation of genetic resources since the middle of the last century. The global genetic resources' conservation and use system has evolved over several decades and presents apparent weaknesses, without a clear blueprint. Therefore, a Special Issue (SI) of Plants on 'A Critical Review of the Current Approaches and Procedures of Plant Genetic Resources Conservation and Facilitating Use: Theory and Practice' was initiated. This SI comprises 13 review and research papers that shed light on the history and the political dimensions of the global system; its current strengths, weaknesses, and limitations; and how the effectiveness and efficiency of the system could be improved to satisfy the germplasm users (plant breeders, researchers) and benefit consumers and society at large. This SI provides insight into new approaches and technical developments that have revolutionised ex situ conservation and the use of germplasm and related information. It also reflects on complementary conservation approaches (in situ, on-farm, home gardens) to ex situ genebanks, as well as how—through new forms of collaboration at national, regional, and global levels and through stronger links between public genebanks—synergies between the private breeding sector and botanic garden community could be achieved to strengthen the global conservation and use system. Special attention has also been given to the governance of genetic resources and access and benefit-sharing issues that increasingly hamper the needed access to a wide range of genetic resources that is essential for plant breeders to fulfil their mission. [ABSTRACT FROM AUTHOR]

Determining the optimum dose of a mutagen that causes a high frequency of favourable mutations with minimum damage to the plant is the vital criterion for the success of a mutation breeding programme. We evaluated the comparative effectiveness, radiosensitivity and relative biological effectiveness (RBE) of three physical mutagens, viz., electron beams, X-rays and gamma-rays, on twenty indigenous aromatic Joha rice cultivars of Assam. We exposed dry uniform seeds of 12.4% moisture content to 16 different mutagens doses ranging from 50 to 800 Gy at an interval of 50 Gy. Key results: Germination percentage and the seedling traits registered a decreasing trend towards increasing the mutagen doses in all the cultivars, showing differential radiosensitivities. The LD50 values ranged from 515 to 615 Gy for electron beams and 421 to 537 Gy for X-rays and 414 to 481 Gy for gamma-rays. The GR50 values based on seedling vigour index I ranged from 125 to 304 Gy for electron beams, 191 to 313 Gy for X-rays and 178 to 267 Gy for gamma-rays. The optimum dose ranges for electron beams, X-rays and gamma-rays are 241 to 337 Gy, 228 to 324 Gy and 250 to 346 Gy, respectively. The cultivar Soru Joha-Tinsukia was the most radio tolerant, followed by Keteki Joha and Local Joha, while the cultivar Kon Joha-Moran showed the least tolerance. Joha rice cultivars showed more radiosensitivity for X-rays, followed by electron beams and gamma-rays. Similarly, a high RBE was evident for X-rays, followed by electron beams and gamma-rays, indicating their decreasing penetration capacity and lethality trend. These results would help plant breeders select the appropriate mutagen dose for mutation breeding in Assam's least researched aromatic Joha rice. [ABSTRACT FROM AUTHOR]

Blackberries have gained considerable attention due to their high antioxidant content and potential health benefits. This study compared the metabolite profiles of six blackberry cultivars and investigated their biological activities. The metabolites extracted from blackberries were analyzed using metabolomics, and their biological activities and mechanisms were confirmed using in vitro models and network pharmacology. Among the cultivars examined, "Kiowa" ripe berries exhibited the highest antioxidant and anti-inflammatory activities. These effects were primarily attributed to the accumulation of flavonoids (quercitrin and luteolin) and anthocyanin (cyanidin 3-O-glucoside) in the phenylpropanoid pathway. Furthermore, our research identified 13 blackberry metabolites that interacted with 31 genes, including AKT1, CASP3, JUN, MAPK8, NOS3, NQO1, and HMOX1 which play roles in reducing oxidative stress, protecting cells from damage, and suppressing inflammation. These findings suggest that blackberry metabolites, such as quercitrin, luteolin, and cyanidin 3-O-glucoside, may exert therapeutic effects by modulating specific genes and pathways associated with antioxidant and anti-inflammatory responses. This research is promising not only for plant breeders but also for those interested in harnessing the health-promoting properties of blackberries. [ABSTRACT FROM AUTHOR]