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This study investigates dosimetric influence and gradient-analysis of leaf-width of various Multi-leaf-collimators (MLC) from Truebeam and Halcyon linear accelerators. The leaf-width effects of Millennium120 and HD120MLC from Truebeam and SX1 and SX2 from Halcyon were studied using virtual phantom in Eclipse16.1.2 TPS. Target structures consist of bore and wave cylinders of equally spaced projected Planning target volume (PTV) of diameters ranging from 1-to-5 cm and 20 cm length. Treatment plans for all PTVs, and four different MLCs configurations from both machines were created utilizing 6MVFFF beam to deliver dose of 50Gy/25# using IMRT and VMAT. Plans were evaluated using plan quality indices including dose conformity, homogeneity, gradient radius, and Monitor-unit (MU). Also, dose gradients were analyzed by estimating distinct integral volume V D% and paired-t-tests were performed to evaluate statistical differences. All the plan satisfied the minimum criteria of D 95 % ≥prescription dose and V 107 % ≤2cc. Mean conformity and homogeneity indices for SX1MLC(CI = 0.680,HI = 0.022) were found significantly higher and lower than SX2(CI = 0.746,HI = 0.016), Millennium120 (CI = 0.739,HI = 0.012), and HD120MLC(CI = 0.745,HI = 0.017), respectively. However, CI and HI for SX2, Millennium120, and HD120MLC found comparable. Gradient radius enclosing 50 % of isodose observed maximum and minimum for SX1 and HD120MLC, respectively. Plan MUs for Truebeam MLCs were found approximately 25 % higher than Halcyon MLCs. Dose distribution generated using SX2 and Millennium120 found comparable, however p ≤ 0.05 ascertained substantial differences among SX1, Millennium120, and HD120MLC. MLC leaf-width influences intensity-modulation and significantly alters dosimetric outcome depending on the magnitude of the leaf-width. HD120MLC does not show much significant advantages over SX2 and Millennium120 except gradient control. Halcyon SX1MLC produces least effective plan compared to all other MLC types. However, SX2 and Millennium120 can produce plans of comparable quality except plan MUs difference. [ABSTRACT FROM AUTHOR]

Leaf width is a key determinant of planting density and photosynthetic efficiency. In an effort to determine which genes regulate maize plant leaf width, we performed a genome-wide association study (GWAS) of 1.49 × 106 single nucleotide polymorphisms (SNPs) in 80 sequenced backbone inbred maize lines in Jilin Province, China, based upon phenotypic leaf width data from two years. In total, 14 SNPs were identified as being significantly related to leaf width (p < 0.000001), with these SNPs being located on chromosomes 1, 2, 3, 5, 6, 7, 8, and 9. A total of five candidate genes were identified within a mean linkage disequilibrium (LD) distance of 9.7 kb, with a significant SNP being identified within the Zm00001d044327 candidate gene. RNA was then isolated from 12 different inbred maize lines from this GWAS study cohort and was used to conduct qPCR analyses which revealed significant differences in Zm00001d044327 expression among strains exhibiting significant differences in leaf width. Based on an assessment of EMS mutant lines harboring a conserved amino acid stop mutation and two non-synonymous mutations in Zm00001d044327 that exhibited a narrow leaf width, these data suggested that Zm00001d044327 is a key regulator of maize leaf width. [ABSTRACT FROM AUTHOR]

• The equations that use the product between L and W are the most suitable for predicting LA. • The linear and power models are the most suitable for estimating the leaf area of sweet potato cultivars;. • The proposed non-destructive method presents high accuracy for four sweet potato cultivars. Many researchers consider the leaf area the most critical parameter for plant growth and physiology studies. Using allometric equations is considered an effective and non-destructive method for estimating the leaf area of plants. The objectives of this study were to construct allometric equations to predict the leaf area of sweet potato cultivars as a function of leaf dimensions and to verify the effectiveness of the allometric equations constructed for each cultivar individually and for the grouped data. Two hundred fifty leaves of the sweet potato cultivars Beauregard, BRS Amélia, BRS Cuia, and Coquinho were collected, and then the length and width of each leaf were measured. Subsequently, the product between leaf length and width and the actual leaf area was calculated. Linear, linear without intercept, power, and exponential regression models were used to construct allometric equations to predict leaf area. The best equations were chosen according to the highest coefficients of determination and correlation, Willmott agreement index, and lowest Akaike information criterion and root mean square error. The equations obtained with the linear models without intercept and power using the length and width of the leaves were the most indicated for predicting the leaf area of sweet potato cultivars. [ABSTRACT FROM AUTHOR]

Background and Aims Leaf area (A) is a crucial indicator of the photosynthetic capacity of plants. The Montgomery equation (ME), which hypothesizes that A is proportional to the product of leaf length (L) and width (W), is a valid tool for non-destructively measuring A for many broadleaved plants. At present, the methods used to compute L and W for the ME can be broadly divided into two kinds: using computer recognition and measuring manually. However, the potential difference in the prediction accuracy using either method has not been thoroughly examined in previous studies. Methods In the present study, we measured 540 Alangium chinense leaves, 489 Liquidambar formosana leaves and 215 Liriodendron  ×  sinoamericanum leaves, utilizing computer recognition and manual measurement methods to determine L and W. The ME was used to fit the data determined by the two methods, and the goodness of fits were compared. The prediction errors of A were analysed by examining the correlations with two leaf symmetry indices (areal ratio of the left side to the right side, and standardized index for bilateral asymmetry), as well as the leaf shape complexity index (the leaf dissection index). Key Results The results indicate that there is a neglectable difference in the estimation of A between the two methods. This further validates that the ME is an effective method for estimating A in broadleaved tree species, including those with lobes. Additionally, leaf shape complexity significantly influenced the estimation of A. Conclusions These results show that the use of computer recognition and manual measurement in the field are both effective and feasible, although the influence of leaf shape complexity should be considered when applying the ME to estimate A in the future. [ABSTRACT FROM AUTHOR]

Plant height and leaf morphology are considered complex agronomy traits; both are significantly related to nutrient utilization, lodging resistance, and photosynthetic efficiency, which ultimately affect biomass and yield. However, the molecular mechanism of leaf morphogenesis is still unclear. WOX is a group of plant-specific transcription factor families that regulate growth and development, cell division, and differentiation in plants. In the present study, we identified and characterized the m-876 mutant in barley (Hordeum vulgare L.), which exhibited an extreme reduction in leaf width and plant height. Using a map-based cloning strategy, the m-876 mutant was narrowed down to an 11.4 Mb genomic interval on the long arm of chromosome 5. By analyzing the gene annotation information and nucleotide sequences, we found that HvWOX3A (HORVU.MOREX.r3.5HG0467090) had a G-to-A substitution at the second exon in the m-876 mutant, resulting in a change of the coding amino acid from Tryptophan to a premature stop codon at the 200th amino acid position. Remarkably, the mutation of the HvWOX3A gene leads to changes in gene expression in the m-876 mutant. Collectively, our results indicate that the loss function of the HORVU.MOREX.r3.5HG0467090 gene might be responsible for the phenotypic variation in barley mutants. [ABSTRACT FROM AUTHOR]

In order to explore the appropriate leaf length, leaf width and leaf weight range of high-quality cured tobacco leaves in Guangyuan and provide data support for the production of high-quality flue-cured tobacco in Guangyuan, 10 tobacco farmers with representative planting levels were selected to take 2 kg samples of X2F, C2F, C3F and B2F from 5 purchase lines in Jiangue County, Guangyuan City, Sichuan Province in 2021. The tobacco leaf quality was evaluated according to different leaf length width and single leaf weight. The results showed as follows; with the increase of leaf length, the contents of total sugar and reducing sugar in X2F, B2F tobacco decreased, and the contents of nicotine and potassium increased with the increase of C3F. The content of total sugar and reducing sugar increased gradually with the increase of leaf width. The content of total sugar in tobacco leaves of X2F and C3F grades increased with the increase of single leaf weight, while the content of potassium decreased. The total appearance quality of X2F increased first and then decreased with the increase of leaf width and single leaf weight. With the increase of leaf length, the total appearance quality of C2F and C3F increased gradually, and the total appearance quality was ranked from high to low as > 75 cm, 65-75 cm,>55-65 cm, ≤55 cm. With the increase of leaf length, leaf width and single leaf weight, the sensory quality scores of C2F, C3F and B2F mainly showed the trend of first increase and then decrease. With the increase of leaf length and width, the scores of C2F and B2F were firstly increased and then decreased. The comprehensive quality of X2F tobacco leaves was better when the leaf length was controlled at >50-60 cm, leaf width at 15-19 cm and single leaf weight at >7-11 g. When the leaf length of C2F was > 55-65 cm, the leaf width was >15-23 cm and the weight of single leaf was >9-13g, the comprehensive quality of C2F tobacco was better. When the leaf length of C3F was >65-75 cm, the leaf width was >15-23 cm and the single leaf weight was >8-12 g, the comprehensive quality of C3F tobacco was better. When the leaf length of B2F was controlled at >55-65 cm, the leaf width was controlled at >15-23 cm, and the single leaf weight was controlled at >9-15 g, the comprehensive quality of B2F tobacco was better. [ABSTRACT FROM AUTHOR]

Maize is an important food and feed crop. Under limited arable land area, the cultivation of high-density-tolerance crops is a key factor in promoting yield improvement. Leaf width and stalk strength are important influences on density tolerance in maize. However, no comprehensive transcriptomic analysis has focused on maize's leaf width and stalk strength formation mechanisms. In this study, comparative transcriptomic analyses demonstrated that significant transcriptome changes occurred regarding leaf width and stalk strength of narrow-leaved and wide-leaved maize inbred lines, with a total of 5001 differentially expressed genes (DEGs) identified. Enrichment analysis showed that phenylpropanoid biosynthesis, starch and sucrose metabolism, phytohormone signaling, amino acid metabolism, and brassinosteroid biosynthesis were significantly correlated with the formation of maize leaf shape and stalk strength and that the genes in these pathways were primarily involved in cell wall formation. Weighted gene co-expression network analysis identified 2 modules significantly correlated with leaf width and stalk strength, from which 11 hub genes were further identified. The 11 leaf and stem development genes in different pathways were validated using qRT-PCR. These findings can provide a theoretical basis for the mechanism of narrow-leaf and high-strength stalk formation in high-density-tolerance maize and contribute to the proposal of a breeding strategy for yield improvement. [ABSTRACT FROM AUTHOR]

Background and Objectives: The importance of rapid, non-destructive, and accurate estimation of leaf area (LA) in agronomic and physiological studies is well known. The need for such estimates of leaf area in particular for leaves with unusual shapes has led to studies relating leaf dimensions and leaf area. However, a search of literature revealed that little information is available for short day onion (Allium cepa L.). The objective of this study was to develop a statistically validated regression model for leaf area prediction from simple non-destructive measurements for onion cultivated in the South of Iran. Materials and Methods: In order to prepare the required plant samples to measure leaf area parameters, an experiment was conducted in the cropping year 2020-2021 in a field of 300 square meters located in Hormozgan province-Rahdad district. The short-day cultivar Takii was used because of its wide planting area in the province. 40 leaves were chosen at random from plants growing in the farm, half were left for validation of the model and the other 20 leaves were subjected to measurement and calibration. The standard method (LICOR LI-3000C) was used for measuring the actual areas of the leaves. Before measuring the leaf area, two main parameters related to leaf length and width were accurately determined for each leaf. To select the best variables and the regression model for estimating leaf area, the fitted simple and multiple linear regression were subjected to the stepwise elimination method. Finally, the accuracy of the selected models was validated using the root mean square error (RMSE) and coefficient of determination (R2 ). Results: All linear models for estimation of leaf area with width (W) and length (L) as well as models including both variables were subjected to regression analysis. The results indicated that leaf length (L) is more appropriate variable for estimating onion leaf area and leaf width (W) was not able to properly describe leaf area. Based on the findings of this research leaf area estimation model with both W and L had the best prediction, with RMSE%=8.64, RMSE=1.76 and R2 =0.91. (Area=0.121 + 0.01537 L2 + 0.3225 L×W). Conclusion: As the understanding of plant growth and development has been increasing, such mathematical models will be very useful tools for the prediction of leaf area for many plants without the use of expensive devices. Thus, the models from the present study will enable researchers of plant growth modeling to predict leaf area non-destructively with the equations developed. [ABSTRACT FROM AUTHOR]

Canopy architecture in cereals plays an important role in determining yield. Leaf width represents one key aspect of this canopy architecture. However, our understanding of leaf width control in cereals remains incomplete. Classical mutagenesis studies in barely identified multiple morphological mutants, including those with differing leaf widths. Of these, we characterized the broad leaf13 (blf13) mutant in detail. Mutant plants form wider leaves due to increased post-initiation growth and cell proliferation. The mutant phenotype perfectly co-segregated with a missense mutation in the HvHNT1 gene which affected a highly conserved region of the encoded protein, orthologous to the rice NARROW LEAF1 (NAL1) protein. Causality of this mutation for the blf13 phenotype is further supported by correlative transcriptomic analyses and protein–protein interaction studies showing that the mutant HvNHT1 protein interacts more strongly with a known interactor than wild-type HvHNT1. The mutant HvHNT1 protein also showed stronger homodimerization compared with wild-type HvHNT1, and homology modelling suggested an additional interaction site between HvHNT1 monomers due to the blf13 mutation. Thus, the blf13 mutation parallels known gain-of-function NAL1 alleles in rice that increase leaf width and grain yield, suggesting that the blf13 mutation may have a similar agronomic potential in barley. [ABSTRACT FROM AUTHOR]

Leaf width is a key determinant of planting density and photosynthetic efficiency. In an effort to determine which genes regulate maize plant leaf width, we performed a genome-wide association study (GWAS) of 1.49 × 106 single nucleotide polymorphisms (SNPs) in 80 sequenced backbone inbred maize lines in Jilin Province, China, based upon phenotypic leaf width data from two years. In total, 14 SNPs were identified as being significantly related to leaf width (p < 0.000001), with these SNPs being located on chromosomes 1, 2, 3, 5, 6, 7, 8, and 9. A total of five candidate genes were identified within a mean linkage disequilibrium (LD) distance of 9.7 kb, with a significant SNP being identified within the Zm00001d044327 candidate gene. RNA was then isolated from 12 different inbred maize lines from this GWAS study cohort and was used to conduct qPCR analyses which revealed significant differences in Zm00001d044327 expression among strains exhibiting significant differences in leaf width. Based on an assessment of EMS mutant lines harboring a conserved amino acid stop mutation and two non-synonymous mutations in Zm00001d044327 that exhibited a narrow leaf width, these data suggested that Zm00001d044327 is a key regulator of maize leaf width.

Plant height and leaf morphology are considered complex agronomy traits; both are significantly related to nutrient utilization, lodging resistance, and photosynthetic efficiency, which ultimately affect biomass and yield. However, the molecular mechanism of leaf morphogenesis is still unclear. WOX is a group of plant-specific transcription factor families that regulate growth and development, cell division, and differentiation in plants. In the present study, we identified and characterized the m-876 mutant in barley (Hordeum vulgare L.), which exhibited an extreme reduction in leaf width and plant height. Using a map-based cloning strategy, the m-876 mutant was narrowed down to an 11.4 Mb genomic interval on the long arm of chromosome 5. By analyzing the gene annotation information and nucleotide sequences, we found that HvWOX3A (HORVU.MOREX.r3.5HG0467090) had a G-to-A substitution at the second exon in the m-876 mutant, resulting in a change of the coding amino acid from Tryptophan to a premature stop codon at the 200th amino acid position. Remarkably, the mutation of the HvWOX3A gene leads to changes in gene expression in the m-876 mutant. Collectively, our results indicate that the loss function of the HORVU.MOREX.r3.5HG0467090 gene might be responsible for the phenotypic variation in barley mutants.

Maize is an important food and feed crop. Under limited arable land area, the cultivation of high-density-tolerance crops is a key factor in promoting yield improvement. Leaf width and stalk strength are important influences on density tolerance in maize. However, no comprehensive transcriptomic analysis has focused on maize’s leaf width and stalk strength formation mechanisms. In this study, comparative transcriptomic analyses demonstrated that significant transcriptome changes occurred regarding leaf width and stalk strength of narrow-leaved and wide-leaved maize inbred lines, with a total of 5001 differentially expressed genes (DEGs) identified. Enrichment analysis showed that phenylpropanoid biosynthesis, starch and sucrose metabolism, phytohormone signaling, amino acid metabolism, and brassinosteroid biosynthesis were significantly correlated with the formation of maize leaf shape and stalk strength and that the genes in these pathways were primarily involved in cell wall formation. Weighted gene co-expression network analysis identified 2 modules significantly correlated with leaf width and stalk strength, from which 11 hub genes were further identified. The 11 leaf and stem development genes in different pathways were validated using qRT-PCR. These findings can provide a theoretical basis for the mechanism of narrow-leaf and high-strength stalk formation in high-density-tolerance maize and contribute to the proposal of a breeding strategy for yield improvement.

Abstract Background Mitochondrion is the key respiratory organ and participate in multiple anabolism and catabolism pathways in eukaryote. However, the underlying mechanism of how mitochondrial membrane proteins regulate leaf and grain development remains to be further elucidated. Results Here, a mitochondria-defective mutant narrow leaf and slender grain 1 (nlg1) was identified from an EMS-treated mutant population, which exhibits narrow leaves and slender grains. Moreover, nlg1 also presents abnormal mitochondria structure and was sensitive to the inhibitors of mitochondrial electron transport chain. Map-based cloning and transgenic functional confirmation revealed that NLG1 encodes a mitochondrial import inner membrane translocase containing a subunit Tim21. GUS staining assay and RT-qPCR suggested that NLG1 was mainly expressed in leaves and panicles. The expression level of respiratory function and auxin response related genes were significantly down-regulated in nlg1, which may be responsible for the declination of ATP production and auxin content. Conclusions These results suggested that NLG1 plays an important role in the regulation of leaf and grain size development by maintaining mitochondrial homeostasis. Our finding provides a novel insight into the effects of mitochondria development on leaf and grain morphogenesis in rice.

In this study, we evaluated the accuracy of image measurment using a growth diagnosis support tool developed collectively with private enterprises, NARO, and Aichi Agricultural Research Center. The stem diameter, stem length from the shoot apex to the base of the highest flowering cluster (flowering position), and leaf width were measured in tomato plants using images acquired with a smartphone camera and compared with actual values; the accuracy of image measurement was evaluated using the growth diagnosis support tool. The imagemeasuring method involves capturing the measured parts and a marker for measurement on the same screen and performing image analysis on a smartphone. The error rate were 2.2% and 3.7% for stem diameter and flowering position, respectively. However, the error rate for leaf width varied between 3.7% and 6.6% depending on the variety, owing to variations in leafing conditions, such as the degree of leaf-tip curl. Moreover, the axial symmetry of leaf width was confirmed in tomato plants, indicating that measuring one side enables the estimation of leaf width, and simplifies the measurement procedure. [ABSTRACT FROM AUTHOR]

Leaf area of dried Flue-cured tobacco is a reflection of climate and stage of growth of fresh tobacco in field; it also serves as the foundation for calculating a number of significant physical properties of tobacco. So the purpose of this paper was to establish a model to estimate the leaf area of dried Flue-cured tobacco in China from linear dimensions. Three Hundred eight tobacco leaves from different growing area and stalk position were sampled randomly and separated for model selection among linear, proportional and power model type and external evaluation individually. Results showed that there was a significant and strong correlation between leaf area and length×width, The equation LA = 0.495(L×W), where LA is the leaf area and L×W is the product of leaf length and width, was optimum and adequate for the estimation of leaf area of dried tobacco in China examined by Fisher’s test, Akaike delta information criterion (AIC) and Bayesian information criterion (BIC). Growing area and stalk position had minor effect on the parameter before (L×W). The equation can sufficiently predict the area of leaf for external evaluation. [ABSTRACT FROM AUTHOR]

Bio-fertilizers are in the present more and more of interest as alternative nutritive inputs. This research aim was to test different doses of yeast and caffeine on pepper growth and chlorophyll content. The experiment in controlled conditions consisted of 8 phytocosms treatments with 3 yeast and caffeine doses 1%, 2%, and 3%, one mixed treatment (2%), and the control treatment in five replications. The yeast addition promoted all the tested morphological parameters especially the middle dose tested. Caffeine treatments induced a slow growth of pepper vegetative period, even a delayed development compared with the control treatment. In conclusion, the mixed treatment was the most efficient pepper bio-fertilizer and provided the highest values of leaf length, width, seedling height, and also total chlorophyll content.

Background: Mitochondrion is the key respiratory organ and participate in multiple anabolism and catabolism pathways in eukaryote. However, the underlying mechanism of how mitochondrial membrane proteins regulate leaf and grain development remains to be further elucidated. Results: Here, a mitochondria-defective mutant narrow leaf and slender grain 1 (nlg1) was identified from an EMS-treated mutant population, which exhibits narrow leaves and slender grains. Moreover, nlg1 also presents abnormal mitochondria structure and was sensitive to the inhibitors of mitochondrial electron transport chain. Map-based cloning and transgenic functional confirmation revealed that NLG1 encodes a mitochondrial import inner membrane translocase containing a subunit Tim21. GUS staining assay and RT-qPCR suggested that NLG1 was mainly expressed in leaves and panicles. The expression level of respiratory function and auxin response related genes were significantly down-regulated in nlg1, which may be responsible for the declination of ATP production and auxin content. Conclusions: These results suggested that NLG1 plays an important role in the regulation of leaf and grain size development by maintaining mitochondrial homeostasis. Our finding provides a novel insight into the effects of mitochondria development on leaf and grain morphogenesis in rice. [ABSTRACT FROM AUTHOR]

Copyright of Xinjiang Agricultural Sciences is the property of Xinjiang Agricultural Sciences Editorial Department 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.)

Banana is an excellent companion crop cultivated with coconut, areca nut, coffee, or cacao. The yield performance of bananas however differs due to cultivar response to light, water, and nutrient availability in the intercropping system. The current study aims to understand the performance of different banana varieties under the areca nut shaded system by trait variation in growth, phenology, fresh bunch mass (yield), and soil nutrient balance patterns. Five banana varieties were screened in a field experiment in a high-density areca garden for vegetative traits, phenology, yield components, and nutrient budgets. Variety Amti recorded wider leaves and greater leaf area and also recorded higher bunch yield in plant and first ratoon crop than other varieties. The Velchi variety recorded the highest leaf emergence rate during winter and recorded the highest percentage of plants with a bunch in both the plant and first ratoon crops. The study revealed nutrient mining of nitrogen, phosphorous, and potassium in the areca–banana system. The effective balance of the available soil phosphorus was found to be highly negative for Grand Nain (−50.3 kg·ha−1·year−1) and negative (−23.6 kg·ha−1·year−1) for Amti. The results reveal the role of choice variety, indicator traits, and nutrient management strategies in enhancing banana productivity in agroforestry systems.

The estimative of the leaf area using a nondestructive method is paramount for successive evaluations in the same plant with precision and speed, not requiring high-cost equipment. Thus, the objective of this work was to construct models to estimate leaf area using artificial neural network models (ANN) and regression and to compare which model is the most effective model for predicting leaf area in sesame culture. A total of 11,000 leaves of four sesame cultivars were collected. Then, the length (L) and leaf width (W), and the actual leaf area (LA) were quantified. For the ANN model, the parameters of the length and width of the leaf were used as input variables of the network, with hidden layers and leaf area as the desired output parameter. For the linear regression models, leaf dimensions were considered independent variables, and the actual leaf area was the dependent variable. The criteria for choosing the best models were: the lowest root of the mean squared error (RMSE), mean absolute error (MAE), and absolute mean percentage error (MAPE), and higher coefficients of determination (R2). Among the linear regression models, the equation yˆ=0.515+0.584*LW was considered the most indicated to estimate the leaf area of the sesame. In modeling with ANNs, the best results were found for model 2-3-1, with two input variables (L and W), three hidden variables, and an output variable (LA). The ANN model was more accurate than the regression models, recording the lowest errors and higher R2 in the training phase (RMSE: 0.0040; MAE: 0.0027; MAPE: 0.0587; and R2: 0.9834) and in the test phase (RMSE: 0.0106; MAE: 0.0029; MAPE: 0.0611; and R2: 0.9828). Thus, the ANN method is the most indicated and accurate for predicting the leaf area of the sesame.

Sorghum is one of the most adaptable and undemanding forage crops cultivated in arid zones. The crop is characterized with high quality foliage, which can be used in fodder production in various forms (both in single-crop silage and in multi-crop mixtures). The purpose of the current study was to estimate the variability of the main productivity elements of sweet sorghum green mass depending on weather indicators. The initial material was presented by 180 collection samples of sweet sorghum from Russia, the USA and Ukraine. There have been used conventional breeding methods, such as hybridization, selection and inbreeding. The weather conditions during the study years of 2017–2021 were contrasting. The hydrothermal coefficient for the vegetation period of sorghum indicates that the year of 2018 was the driest one (HThC = 0.38). The variability coefficient of collection samples of sweet sorghum according to green mass productivity has shown a strong variability of this indicator (V = 27–35%). The green mass productivity had a close direct correlation with the length of a leaf (0.73±0.05) and an average correlation with its width (0.61±0.06). The variability coefficient has shown that the samples of sorghum collection had an average variability according to the traits ‘leaf length’ (V = 15.3%) and ‘leaf width’ (V = 11.8%), and were stable according to the trait ‘number of leaves per plant’ (V = 7.4%). Correlation and regression analysis has shown that ‘leaf length’ had an average inverse correlation with air temperature (r = –0.42±0.06) and a strong direct correlation with precipitation (r = 0.78±0.05). The trait ‘leaf width’ is practically independent of weather conditions. The number of leaves had an average negative correlation with air temperature (r = –0.55±0.06), and a weak correlation with amount of precipitation. A leaf length and width are marker indicators of high productivity, so they can be used in plant selection for productivity.

Over the years, advances in technological and computational procedures have been made available for studies on plant morphology and physiology, and the cross-checking between the oldest and most recent information available in the literature is an important way to consolidate scientific knowledge. Due to its economic importance, studies on leaf allometry of Coffea arabica genotypes have been published in the last 50 years, making it an excellent model plant for comparing the technological advances in data collection and analysis for the development of individual leaf area prediction models. We conducted a study aiming the comparison of four allometric models available in the literature with a new allometric model from a simple linear regression with Bayesian statistics adjustment based on Markov chain Monte Carlo (MCMC) to estimate the individual leaf area (LA) of two C. arabica genotypes. All leaves of six plants belonging to two cultivars ('Catuaí Vermelho' IAC44 and 'Catucaí Vermelho' 19/08) with approximately 1 year old were collected (n = 563). Measurements of length of leaf blade, width and LA were obtained from scanned images, using the software ImageJ. For regressions between observed and predicted LA, all the models available in the literature presented high coefficients of determination (R2), very low root-mean-square errors (RMSE) and very similar values for the Akaike Information Criterion (AIC). As expected, for regressions between observed and predicted LA our Bayesian regression model presented lower values of RMSE and AIC than the previous models proposed in the literature. Despite technological advances and the development of new computational procedures, all models tested in this study provided highly accurate predictions of the LA for C. arabica genotypes. [ABSTRACT FROM AUTHOR]

Bio-fertilizers are in the present more and more of interest as alternative nutritive inputs. This research aim was to test different doses of yeast and caffeine on pepper growth and chlorophyll content. The experiment in controlled conditions consisted of 8 phytocosms treatments with 3 yeast and caffeine doses 1%, 2%, and 3%, one mixed treatment (2%), and the control treatment in five replications. The yeast addition promoted all the tested morphological parameters especially the middle dose tested. Caffeine treatments induced a slow growth of pepper vegetative period, even a delayed development compared with the control treatment. In conclusion, the mixed treatment was the most efficient pepper bio-fertilizer and provided the highest values of leaf length, width, seedling height, and also total chlorophyll content. [ABSTRACT FROM AUTHOR]

The identification and dissection of the genetic foundations underlying natural variations in crop species are critical for understanding their phenotypic diversity and for subsequent application in selective breeding. In this research, we identify a natural polymorphism in the promoter region of the G protein α subunit 1 (GPA1) gene, which is associated with the width of the tomato leaves. This may be an evolutionary consequence resulting from the domestication processes aimed at increasing fruit size. A functional disruption of the GPA1 gene resulted in a significant reduction in both the leaf size and the fruit mass in tomatoes compared to the wild type. Further exploration revealed that the intrinsic variation present in the GPA1 promoter region is responsible for the differential expression of the GPA1 gene. Distinct GPA1 haplotypes show a significant correlation with geographic distribution, suggesting that the polymorphisms within the GPA1 locus confer adaptive advantages for modulating leaf morphology in tomatoes, reflecting evolutionary responses to regional environmental pressures. Consequently, our findings provide new insights into the genetic diversity underlying leaf morphology and offer a valuable genetic resource for the selective breeding of cultivated tomato varieties., Competing Interests: Declaration of Competing Interest The authors declare no competing interests., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Leaf shape and size can vary between hybrids and their parents. However, this has seldom been quantitatively tested. Photinia × fraseri is an important landscaping plant in East Asia as a hybrid between evergreen shrubs P. glabra and P. serratifolia. Its leaf shape looks like that of P. serratifolia. To investigate leaf shape, we used a general equation for calculating the leaf area (A) of broad-leaved plants, which assumes a proportional relationship between A and product of lamina length (L) and width (W). The proportionality coefficient (which is referred to as the Montgomery parameter) serves as a quantitative indicator of leaf shape, because it reflects the proportion of leaf area A to the area of a rectangle with L and W as its side lengths. The ratio of L to W, and the ellipticalness index were also used to quantify the complexity of leaf shape for elliptical leaves. A total of >4000 leaves from P. × fraseri and P. serratifolia (with >2000 leaves for each taxon) collected on a monthly basis was used to examine: (i) whether there is a significant difference in leaf shape between the two taxa, and (ii) whether there is a monotonic or parabolic trend in leaf shape across leaf ages. There was a significant difference in leaf shape between the two taxa (p < 0.05). Although there were significant differences in leaf shape on a monthly basis, the variation in leaf shape over time was not large, i.e., leaf shape was relatively stable over time for both taxa. However, the leaf shape of the hybrid was significantly different from its parent P. serratifolia, which has wider and more elliptical leaves than the hybrid. This work demonstrates that variations in leaf shape resulting from hybridization can be rigorously quantified and compared among species and their hybrids. In addition, this work shows that leaf shape does not changes as a function of age either before or after the full expansion of the lamina. [ABSTRACT FROM AUTHOR]

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Purpose: Whole‐brain radiotherapy (WBRT) is commonly used in patients with multiple brain metastases. Compared with conventional WBRT, hippocampal avoidance WBRT (HA‐WBRT) more favorably preserves cognitive function and the quality of life. The hippocampal volume is considerably small (approximately 3.3 cm3). Therefore, downsizing the leaf width of a multileaf collimator (MLC) may provide higher spatial resolution and better plan quality. Volumetric modulated arc therapy (VMAT) could simulate the half MLC leaf width through couch shifting between arcs. This study investigated changes in VMAT quality for HA‐WBRT with a simulated fine MLC leaf width. Methods: We included 18 patients with brain metastasis. All target and avoidance structures were contoured by an experienced radiation oncologist. The prescribed dose was 30 Gy in 10 fractions. For each patient, three different treatment plans were generated for comparison: VMAT with couch‐shift, VMAT without couch‐shift, and TomoTherapy. All treatment plans fulfilled Radiation Therapy Oncology Group (RTOG) 0933 criteria for HA‐WBRT. The Wilcoxon paired signed‐rank test was used to compare different treatment plans. Results: VMAT with couch‐shift had the better average conformity index (0.823) with statistically significant difference compared to VMAT without couch‐shift (0.810). VMAT with couch‐shift (0.219) had a more favorable average homogeneity index (HI) than did VMAT without couch‐shift (0.230), although the difference was not significant. TomoTherapy had an optimal average HI of 0.070. In terms of the hippocampus, all three treatment plans met the RTOG 0933 criteria. VMAT with couch‐shift had a lower average Dmax (15.2 Gy) than did VMAT without couch‐shift (15.3 Gy, p = 0.071) and TomoTherapy (15.5 Gy, p = 0.133). The average D100% of hippocampus was the same for both VMAT with and without couch‐shift (8.5 Gy); however, TomoTherapy had a lower average D100% value of 7.9 Gy. The treatment delivery time was similar between VMAT with and without couch‐shift (average, 375.0 and 369.6 s, respectively). TomoTherapy required a long average delivery time of 1489.9 s. Conclusion: The plan quality of VMAT for HA‐WBRT was improved by using the couch‐shift technique to simulate the half MLC leaf width. However, the improvement was not statistically significant except conformity index. The downsizing effect decreased with the use of the sophisticated grade of VMAT. TomoTherapy offered superior plan quality but required the longest delivery time. [ABSTRACT FROM AUTHOR]

[Objectives] To explore the genetic mechanism that leaf length and leaf width in bitter gourd has realistic guiding significance for formulating breeding strategy. [Methods] In this paper, the cross was made between CN19-1 and Thai4-6 and an F2 segregation population was constructed. The genetic characteristics of leaf length and leaf width were analyzed by employing the major gene plus polygene mixed genetic model. [Results] The data analysis results demonstrated that the leaf length and leaf width of the F2 segregation population showed continuous distribution. The optimum model for leaf length genetic analysis was A-l, the additive effect value of the major gene was 3.176 6, the dominant effect value was -3.176 6, and the heritability was 74.51%. The optimum model for leaf width genetic analysis was B-l. The additive effect values of 2 pairs of major genes controlling the leaf width were 3.191 7 and 0.962 3, respectively. The dominant effect values were - 1.313 5 and -0.346 3, respectively. The additive x additive interaction effect was -0.359 1, the additive x dominant interaction effect was -0.257 0, the dominant x additive interaction effect was 1.991 6, the dominant x dominant interaction effect was 1.968 6. The heritability of major genes was 96.67%. [Conclusions] This study is expected to provide a theoretical basis for the breeding of bitter gourd. [ABSTRACT FROM AUTHOR]

Experiments were carried out to assess the reaction of rice genotypes viz., hybrid, local and advanced lines in response to the infestation by yellow stem borer (YSB) Scirpophaga incertulas (Walker) and rice leaf folder (RLF) Cnaphalocrocis medinalis (Guenee) along with the designated resistant and susceptible varieties. Plant morphological characters such as number of tillers, number of trichomes, leaf width and plant height were correlated with infestation. Number of tillers showed significant negative correlation with a deadhearts; number of trichomes was significantly negatively correlated; and leaf width showed a positive correlation with RLF infestation. Least % damage was observed in TKM 6 followed by Kesari and Kiruvana against YSB and RLF. A significant increase in phenol, tannin, potassium and silicon occurred in the infested resistant TKM6 and in one of the local rice genotype i.e., Kiruvana. Decrease in leaf protein content was evident invariably in all the infested genotypes. It was also evident that biochemicals such as phenol, tannin, potassium and silicon were negatively correlated with YSB and RLF damage; but total sugar and leaf protein content were positively correlated. Thus, it is concluded that the morphological traits and elevated levels of biochemicals play a vital role in resistance to lepidopteran pests. The implication of the study in insect resistant rice breeding is discussed. [ABSTRACT FROM AUTHOR]

Leaf shape and size can vary between hybrids and their parents. However, this has seldom been quantitatively tested. Photinia × fraseri is an important landscaping plant in East Asia as a hybrid between evergreen shrubs P. glabra and P. serratifolia. Its leaf shape looks like that of P. serratifolia. To investigate leaf shape, we used a general equation for calculating the leaf area (A) of broad-leaved plants, which assumes a proportional relationship between A and product of lamina length (L) and width (W). The proportionality coefficient (which is referred to as the Montgomery parameter) serves as a quantitative indicator of leaf shape, because it reflects the proportion of leaf area A to the area of a rectangle with L and W as its side lengths. The ratio of L to W, and the ellipticalness index were also used to quantify the complexity of leaf shape for elliptical leaves. A total of >4000 leaves from P. × fraseri and P. serratifolia (with >2000 leaves for each taxon) collected on a monthly basis was used to examine: (i) whether there is a significant difference in leaf shape between the two taxa, and (ii) whether there is a monotonic or parabolic trend in leaf shape across leaf ages. There was a significant difference in leaf shape between the two taxa (p < 0.05). Although there were significant differences in leaf shape on a monthly basis, the variation in leaf shape over time was not large, i.e., leaf shape was relatively stable over time for both taxa. However, the leaf shape of the hybrid was significantly different from its parent P. serratifolia, which has wider and more elliptical leaves than the hybrid. This work demonstrates that variations in leaf shape resulting from hybridization can be rigorously quantified and compared among species and their hybrids. In addition, this work shows that leaf shape does not changes as a function of age either before or after the full expansion of the lamina.

The estimative of the leaf area using a nondestructive method is paramount for successive evaluations in the same plant with precision and speed, not requiring high-cost equipment. Thus, the objective of this work was to construct models to estimate leaf area using artificial neural network models (ANN) and regression and to compare which model is the most effective model for predicting leaf area in sesame culture. A total of 11,000 leaves of four sesame cultivars were collected. Then, the length (L) and leaf width (W), and the actual leaf area (LA) were quantified. For the ANN model, the parameters of the length and width of the leaf were used as input variables of the network, with hidden layers and leaf area as the desired output parameter. For the linear regression models, leaf dimensions were considered independent variables, and the actual leaf area was the dependent variable. The criteria for choosing the best models were: the lowest root of the mean squared error (RMSE), mean absolute error (MAE), and absolute mean percentage error (MAPE), and higher coefficients of determination (R 2 ). Among the linear regression models, the equation y ˆ = 0.515 + 0.584 * L W was considered the most indicated to estimate the leaf area of the sesame. In modeling with ANNs, the best results were found for model 2-3-1, with two input variables (L and W), three hidden variables, and an output variable (LA). The ANN model was more accurate than the regression models, recording the lowest errors and higher R 2 in the training phase (RMSE: 0.0040; MAE: 0.0027; MAPE: 0.0587; and R 2 : 0.9834) and in the test phase (RMSE: 0.0106; MAE: 0.0029; MAPE: 0.0611; and R 2 : 0.9828). Thus, the ANN method is the most indicated and accurate for predicting the leaf area of the sesame., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Joao Everthon da Silva Ribeiro reports administrative support, article publishing charges, equipment, drugs, or supplies, statistical analysis, travel, and writing assistance were provided by 10.13039/100017134Federal Rural University of the Semi-Arid. There was no financial interest., (© 2023 The Author(s).)