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2. Agronomic performance and superior traits selection in Indonesian Cowpea (Vigna unguiculata [L.] Walp.) local varieties using genotype by yield trait biplot.

Author

Krisnawati, Ayda and Adie, M. Muchlish

Subjects
*COWPEA, *SEED yield, *GENOTYPES, *BLOCK designs, *ANALYSIS of variance, *FOOD security
Abstract

Cowpea is an important legume crop that grows throughout the world, primarily in tropical and subtropical regions, and has a high potential for food and nutritional security. The study aims to identify the performance and the relationship between agronomic traits, and the superior character of Indonesian cowpea varieties using Genotype by Yield Trait (GYT) biplot analysis. This research used 75 Indonesian cowpea local varieties collected from the exploration study from 2017 to 2018. The evaluation of the 25 agronomic traits of the cowpea local varieties was conducted from March to July 2019. The research was arranged in a randomized block design with three replications. The analysis of variance for agronomic traits revealed that there was a significant difference between cowpea local varieties in almost all traits, except for the number of flower buds per raceme and the number of buds per node. Cowpea seed yield was strongly influenced by seed thickness, number of pods, 100 seed weight, pod width, and number of racemes/plant. The GYT biplot analysis successfully identified the VU50 and VU38 as the best yield-trait combinations for number of pods/plant*seed yield and number of racemes per plant*seed yield, and the VU36 as the best for pod width*seed yield, seed thickness*seed yield, and seed size*seed yield. These genotypes could be used for genetic improvement in the cowpea breeding program. [ABSTRACT FROM AUTHOR]

Published
2024
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3. The effect of seed incubation on germination and vigor of jack bean (Canavalia ensiformis).

Author

Adie, M. Muchlish and Krisnawati, Ayda

Subjects
*VITALITY, *SEED viability, *GERMINATION, *TUBER crops, *BEANS, *SEED treatment, *SEEDS, *SEEDLINGS
Abstract

Seeds with good viability and vigor are key for enhancing jack bean yield. This study aimed to evaluate the effect of seed incubation on the seed viability and vigor of jack beans. The research used jack bean local variety collected from Banyuwangi, East Java, Indonesia. The treatment was seed priming (incubation), which consists of five incubating durations, i.e. 0, 6, 12, and 18 hours. The experiment was designed in a completely randomized design and was conducted in the glass house of the Indonesian Legume and Tubers Crop Research Institute (ILETRI) in March 2022. The growth ability of jack bean seeds begins on the fifth day and reaches its greatest potential on the eighth day under optimal conditions. The control treatment showed an FGP of 100%. The seed viability and vigor decrease as priming increases. The highest SGI was obtained in the control treatment. The seed viability has a strong correlation with seed vigor; thus the seed viability test can still be used to predict seed vigor in the field. The seed priming using the incubation technique (seed conditioning) has no effect on the seed viability and vigor of jack bean seeds as well as on the seedling morphology. Thus, seed priming on high vigor jack bean seeds is not recommended. [ABSTRACT FROM AUTHOR]

Published
2024
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15. ESTIMATION OF HETEROSIS, HETEROBELTIOSIS, AND GENE ACTION IN F1 PLANTS FROM SMALL-SEEDED SOYBEAN CROSSES.

Author

ADIE, M. Muchlish, ARIFIN, Arifin, SUYAMTO, Suyamto, and KRISNAWATI, Ayda

Subjects
*HETEROSIS, *TUBER crops, *SEED size, *PLANT variation, *PLANT performance, *SEED yield, *SOYBEAN
Abstract

Soybeans with small seed sizes and high seed yield potential are crucial for addressing the needs of soybean-based industries. The objectives of the study were to investigate the maternal effect and quantify the value of heterosis, heterobeltiosis, and gene action in F1 plants from soybean crosses with small-seeded. In the present investigation, the experiment was conducted in the screen house of the Indonesian Legume and Tubers Crop Research Institute (ILETRI) located in Malang (East Java, Indonesia) from March to July 2021. The F1 plants were derived from crosses of Lokal Jember × Tidar, Tidar × Gepak Kuning, Gepak Kuning × Detam 3, and their reciprocals. The parental genotypes and F1 plants were all planted. The observed data were plant height, number of branches, number of nodes, number of filled pods, the weight of 10 seeds, and seed yield/plant. The performance of the F1 plants showed variation for all observed traits, which is mostly averaged between the two parents, including 10 seed weight and seed yield. There was no maternal effect for almost all agronomic traits on all crosses and their reciprocals, except for the number of nodes in the cross of Gepak Kuning × Detam 3. Heterosis (hMP) and heterobeltiosis (hHP) of F1 derived from six cross combinations for seven agronomic traits ranged from -25.93 to 186.27 and -94.83 to 114.71, respectively. Based on the potence ratio, the gene action was differed from a cross to cross for seed yield and its components. The degree of dominance for seed size and seed yield varied from overdominance, incomplete dominance, and complete dominance. Thus, based on the present investigation, it is possible to develop soybean varieties with small seed sizes and high yield by using pedigree selection on F2. [ABSTRACT FROM AUTHOR]

Published
2023
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21. Identification of Pod Shattering Resistance and Associations between Agronomic Characters in Soybean using Genotype by Trait Biplot.

Author

Adie, M. M., Sundari, T., Wijanarko, A., Purwaningrahayu, R. D., and Krisnawati, A.

Subjects
*GENOTYPES, *SEED size, *BLOCK designs, *SOYBEAN, *SEED yield
Abstract

Background: Pod shattering has become the major problem in soybean production. The research aims to identify the pod shattering resistance and to assess the agronomic performances of 50 soybean genotypes and the association among agronomic characters. Methods: The research materials were 50 soybean genotypes which consisted of 47 lines derived from routine crossing programs and three check cultivars. The field experiment was arranged in a randomized block design with two replications. The data were observed for yield and its component traits. The oven-dry method was performed in the laboratory to assess the pod shattering resistance. Result: Variation among genotypes was found in the pod shattering resistance and agronomic characters. The genotype by trait biplot graph showed that pod shattering was negatively correlated with the days to maturity and plant height, but positively correlated with the seed size. Soybean genotypes of Grob/G100H-1-588 and G100H/Mhmr-4-993 were resistant to pod shattering and have a high seed weight per plant. These genotypes were potential for further varietal development or could be used as gene sources in the soybean improvement program for pod shattering resistance. [ABSTRACT FROM AUTHOR]

Published
2022
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22. Assessment of Soybean Resistance Level to Pod Sucking Bug Riptortus linearis F. (Hemiptera: Coreidae) based on No-choice and Free-choice Tests.

Author

Krisnawati, A., Noerwijati, K., Indiati, S. W., Trustinah, Yusnawan, E., and Adie, M. M.

Subjects
TUBER crops, HEMIPTERA, SEED pods, BLOCK designs, GENOTYPES, SOYBEAN
Abstract

Background: The infestation of the pod sucking bug Riptortus linearis is one of the limiting factors of soybean productivity in Indonesia. The research aims were to identify the level of resistance to the pod sucking bug R. linearis on several soybean genotypes based on the no-choice test (NCT) and free-choice tests (FCT). Methods: The genetic materials used were 49 soybean genotypes. The study was conducted in the Indonesian Legumes and Tuber Crops Research Institute (ILETRI) from August to December 2020, using the randomized block design in triplicates. The evaluation for pod sucking bug resistance was based on NCT and FCT. Result: The FCT resulted in two genotypes with a consistent moderately resistance level (20-40% of damage intensity) to pod sucking bug based on the pod and seed damage intensity. The NCT method resulted in five genotypes as moderately resistant (20-40% of damage intensity) to pod sucking bug based on the seed damage. The NCT resulted in higher average intensity of pod and seed damage (80.25% and 71.23%, respectively) than the FCT (69.91% and 69.09%, respectively). Two soybean genotypes (Degra/Anjasmoro-1-559 and Anjasmoro/IAC100-2-618) with a consistent moderately resistance level could be used for cultivar improvement in the breeding program. The pod trichome density was suggested to be one of the effective morphological defenses against the pod sucking bug attack. [ABSTRACT FROM AUTHOR]

Published
2022
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28. Pod Positions on the Plant Associated with Pod Shattering Resistance in Soybean Genotypes.

Author

Krisnawati, A., Soegianto, A., Waluyo, B., Adie, M. M., Mejaya, M. J., and Kuswanto

Subjects
GENOTYPES, PLANT stems, SOYBEAN, BLOCK designs
Abstract

Background: One of the major constraints of soybean production in Indonesia is pod shattering which occurs after soybean pod maturity. This study aimed to identify the pod shattering resistance of different pod positions in the plant stem. Metohds: Sixteen genotypes were evaluated in the field research during the dry season 2019. The experiment was laid out in a randomized block design with three replicates. Ten sample plants were randomly taken after R8 phase. Plant was divided into three parts, i.e. upper part, middle part and lower part. The shattering evaluation was done using the oven-dry method in the laboratory. The observation on the number of shattered pods was measured for each part of plant stem. Result: Pod shattering was different among the pod positions as well as among genotypes. One genotype was categorized as resistant, eight genotypes were moderate, six genotypes were susceptible and one genotype was highly susceptible. The highest percentage of the shattered pods was in the lower part of the plant stem, followed by the middle and upper part, respectively. The resistant genotypes showed the shattered pods mostly in the lower part of the stem, the moderate genotypes showed the shattered pods mostly in the lower and middle part of the stem and the susceptible genotypes shattered in all part of the stem. [ABSTRACT FROM AUTHOR]

Published
2021
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47. POD SHATTERING RESISTANCE AND AGRONOMIC TRAITS IN F5 SEGREGATING POPULATIONS OF SOYBEAN.

Author

KRISNAWATI, A., ADIE, M. M., SOEGIANTO, A., WALUYO, B., and KUSWANTO

Subjects
*SOYBEAN, *GRAIN yields, *GENOTYPES, *SOYBEAN farming
Abstract

The soybean productivity can be increased by constant enhancement in the genetic yield potential of the genotypes and to reduce the yield losses due to different factors. The objectives of the present study were to screen and identify the F5 soybean promising lines through agronomic characters and pod shattering resistance. For soybean yield, the selection was made in the segregating populations through pedigree method which resulted in a total of 591 F5 populations and their four parental genotypes (Anjasmoro, G100H, Rajabasa, and Grobogan). Parental cultivar Anjasmoro is highly resistant to pod shattering, whereas the three other parental cultivars are high yielder but medium to susceptible in resistance to pod shattering. For shattering resistance, each soybean line was planted in 4.0 m single row, and then screened as per oven-dry method. Based on resistance to pod shattering, and the resistant gene source (found in cultivar Anjasmoro), 104 populations (16.40%) were selected out of 591 F5 lines and were classified as 'very resistant' to pod shattering. The pod length was one of the important contributors to the pod shattering resistance. New recombinations between Anjasmoro and other susceptible parental genotypes were able to have resistance to pod shattering and perform better for agronomic traits. Through simultaneous selection for pod shattering resistance and agronomic traits, the 30 lines were further selected based on maximum resistance to pod shattering and high grain yield. These selected F5 lines could be used in future breeding program for the development of soybean genotypes with genetic potential of pod shattering resistance and good yield in the tropical regions. [ABSTRACT FROM AUTHOR]

Published
2019

48. Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants.

Author

Austin N., Andersen C., Darlow B., Broadbent R., Corban J., Mildenhall L., Battin M., Bourchier D., Richardson V., Haslam R., Rajadurai V.S., Kajetanowicz A., Synnes A., Rouvinez-Bouali N., Piedboeuf B., Bertelle V., Bulleid B., Yee W., Shivananda S., Lee K.-S., Seshia M., Barrington K., Lefebvre F., McMillan D., Andrews W., Kovacs L., Dow K., da Silva O., Riley P., Peliowski A., Aziz K., Cieslak Z., Kalapesi Z., Sankaran K., Faucher D., Alvaro R., Canning R., Ojah C., Monterrosa L., Dunn M., Sorokan T., Harrison A., Nwaesei C., Adie M., Hakansson S., Segerdahl N., Morad T., Moren S., Stenberg A., Simonsson C., Stigsson L., Christensen J.L., Amasn L., Ingemanson F., osterdal L., Ellstrom K.-G., Abrahamsson T., Heimdahl I., Hagg T., Hedlund A., Lund E.E., Westrup B., Sarman I., Jobe A.S., Fredsriksson M., Palm A., Malmstrom B., Lindberg E., Ljungdahl O., Eriksson K., Koller-Smith L.I.M., Shah P., Ye X.Y., Sjors G., Wang Y.A., Chow S.S.W., Darlow B.A., Lee S.K., Hakanson S., Lui K., Marshall P., Craven P., Simmer K., Stack J., Knight D., Watkins A., Ramsden A., Tan K., Bawden K., Downe L., Singde V., Stewart M., Berry A., Hunt R., Kilburn C., Dargaville P., Paradisis M., Evans N., Reid S., Cartwright D., Kuschel C., Doyle L., Numa A., Kecskes Z., Badawi N., Koh G., Resnick S., Tracy M., Tarnow-Mordi W., Austin N., Andersen C., Darlow B., Broadbent R., Corban J., Mildenhall L., Battin M., Bourchier D., Richardson V., Haslam R., Rajadurai V.S., Kajetanowicz A., Synnes A., Rouvinez-Bouali N., Piedboeuf B., Bertelle V., Bulleid B., Yee W., Shivananda S., Lee K.-S., Seshia M., Barrington K., Lefebvre F., McMillan D., Andrews W., Kovacs L., Dow K., da Silva O., Riley P., Peliowski A., Aziz K., Cieslak Z., Kalapesi Z., Sankaran K., Faucher D., Alvaro R., Canning R., Ojah C., Monterrosa L., Dunn M., Sorokan T., Harrison A., Nwaesei C., Adie M., Hakansson S., Segerdahl N., Morad T., Moren S., Stenberg A., Simonsson C., Stigsson L., Christensen J.L., Amasn L., Ingemanson F., osterdal L., Ellstrom K.-G., Abrahamsson T., Heimdahl I., Hagg T., Hedlund A., Lund E.E., Westrup B., Sarman I., Jobe A.S., Fredsriksson M., Palm A., Malmstrom B., Lindberg E., Ljungdahl O., Eriksson K., Koller-Smith L.I.M., Shah P., Ye X.Y., Sjors G., Wang Y.A., Chow S.S.W., Darlow B.A., Lee S.K., Hakanson S., Lui K., Marshall P., Craven P., Simmer K., Stack J., Knight D., Watkins A., Ramsden A., Tan K., Bawden K., Downe L., Singde V., Stewart M., Berry A., Hunt R., Kilburn C., Dargaville P., Paradisis M., Evans N., Reid S., Cartwright D., Kuschel C., Doyle L., Numa A., Kecskes Z., Badawi N., Koh G., Resnick S., Tracy M., and Tarnow-Mordi W.

Abstract

Background: Compared to very low gestational age (<32 weeks, VLGA) cohorts, very low birth weight (<1500 g; VLBW) cohorts are more prone to selection bias toward small-for-gestational age (SGA) infants, which may impact upon the validity of data for benchmarking purposes. Method(s): Data from all VLGA or VLBW infants admitted in the 3 Networks between 2008 and 2011 were used. Two-thirds of each network cohort was randomly selected to develop prediction models for mortality and composite adverse outcome (CAO: mortality or cerebral injuries, chronic lung disease, severe retinopathy or necrotizing enterocolitis) and the remaining for internal validation. Areas under the ROC curves (AUC) of the models were compared. Result(s): VLBW cohort (24,335 infants) had twice more SGA infants (20.4% vs. 9.3%) than the VLGA cohort (29,180 infants) and had a higher rate of CAO (36.5% vs. 32.6%). The two models had equal prediction power for mortality and CAO (AUC 0.83), and similarly for all other cross-cohort validations (AUC 0.81-0.85). Neither model performed well for the extremes of birth weight for gestation (<1500 g and >=32 weeks, AUC 0.50-0.65; >=1500 g and <32 weeks, AUC 0.60-0.62). Conclusion(s): There was no difference in prediction power for adverse outcome between cohorting VLGA or VLBW despite substantial bias in SGA population. Either cohorting practises are suitable for international benchmarking.Copyright © 2017 The Author(s).

Published
2017

49. Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants

Author

Koller-Smith, LIM, Shah, PS, Ye, XY, Sjörs, G, Wang, YA, Chow, SSW, Darlow, BA, Lee, SK, Håkanson, S, Lui, K, Marshall, P, Craven, P, Simmer, K, Stack, J, Knight, D, Watkins, A, Ramsden, A, Tan, K, Bawden, K, Downe, L, Singde, V, Stewart, M, Berry, A, Hunt, R, Kilburn, C, Dargaville, P, Paradisis, M, Evans, N, Reid, S, Cartwright, D, Kuschel, C, Doyle, L, Numa, A, Kecskes, Z, Badawi, N, Koh, G, Resnick, S, Tracy, M, Tarnow-Mordi, W, Andersen, C, Austin, N, Darlow, B, Broadbent, R, Corban, J, Mildenhall, L, Battin, M, Bourchier, D, Richardson, V, Haslam, R, Rajadurai, VS, Kajetanowicz, A, Synnes, A, Rouvinez-Bouali, N, Piedboeuf, B, Bertelle, V, Bulleid, B, Yee, W, Shivananda, S, Lee, KS, Seshia, M, Barrington, K, Lefebvre, F, McMillan, D, Andrews, W, Kovacs, L, Dow, K, da Silva, O, Riley, P, Peliowski, A, Aziz, K, Cieslak, Z, Kalapesi, Z, Sankaran, K, Faucher, D, Alvaro, R, Canning, R, Ojah, C, Monterrosa, L, Dunn, M, Sorokan, T, Harrison, A, Nwaesei, C, Adie, M, Håkansson, S, Segerdahl, N, Morad, T, Morén, S, Stenberg, Å, Simonsson, C, Stigsson, L, Christensen, JL, Åmasn, L, Ingemanson, F, österdal, L, Ellström, KG, Abrahamsson, T, Heimdahl, I, Hägg, T, Hedlund, A, Lund, EE, Koller-Smith, LIM, Shah, PS, Ye, XY, Sjörs, G, Wang, YA, Chow, SSW, Darlow, BA, Lee, SK, Håkanson, S, Lui, K, Marshall, P, Craven, P, Simmer, K, Stack, J, Knight, D, Watkins, A, Ramsden, A, Tan, K, Bawden, K, Downe, L, Singde, V, Stewart, M, Berry, A, Hunt, R, Kilburn, C, Dargaville, P, Paradisis, M, Evans, N, Reid, S, Cartwright, D, Kuschel, C, Doyle, L, Numa, A, Kecskes, Z, Badawi, N, Koh, G, Resnick, S, Tracy, M, Tarnow-Mordi, W, Andersen, C, Austin, N, Darlow, B, Broadbent, R, Corban, J, Mildenhall, L, Battin, M, Bourchier, D, Richardson, V, Haslam, R, Rajadurai, VS, Kajetanowicz, A, Synnes, A, Rouvinez-Bouali, N, Piedboeuf, B, Bertelle, V, Bulleid, B, Yee, W, Shivananda, S, Lee, KS, Seshia, M, Barrington, K, Lefebvre, F, McMillan, D, Andrews, W, Kovacs, L, Dow, K, da Silva, O, Riley, P, Peliowski, A, Aziz, K, Cieslak, Z, Kalapesi, Z, Sankaran, K, Faucher, D, Alvaro, R, Canning, R, Ojah, C, Monterrosa, L, Dunn, M, Sorokan, T, Harrison, A, Nwaesei, C, Adie, M, Håkansson, S, Segerdahl, N, Morad, T, Morén, S, Stenberg, Å, Simonsson, C, Stigsson, L, Christensen, JL, Åmasn, L, Ingemanson, F, österdal, L, Ellström, KG, Abrahamsson, T, Heimdahl, I, Hägg, T, Hedlund, A, and Lund, EE

Abstract

© 2017 The Author(s). Background: Compared to very low gestational age (<32 weeks, VLGA) cohorts, very low birth weight (<1500 g; VLBW) cohorts are more prone to selection bias toward small-for-gestational age (SGA) infants, which may impact upon the validity of data for benchmarking purposes. Method: Data from all VLGA or VLBW infants admitted in the 3 Networks between 2008 and 2011 were used. Two-thirds of each network cohort was randomly selected to develop prediction models for mortality and composite adverse outcome (CAO: mortality or cerebral injuries, chronic lung disease, severe retinopathy or necrotizing enterocolitis) and the remaining for internal validation. Areas under the ROC curves (AUC) of the models were compared. Results: VLBW cohort (24,335 infants) had twice more SGA infants (20.4% vs. 9.3%) than the VLGA cohort (29,180 infants) and had a higher rate of CAO (36.5% vs. 32.6%). The two models had equal prediction power for mortality and CAO (AUC 0.83), and similarly for all other cross-cohort validations (AUC 0.81-0.85). Neither model performed well for the extremes of birth weight for gestation (<1500 g and ≥32 weeks, AUC 0.50-0.65; ≥1500 g and <32 weeks, AUC 0.60-0.62). Conclusion: There was no difference in prediction power for adverse outcome between cohorting VLGA or VLBW despite substantial bias in SGA population. Either cohorting practises are suitable for international benchmarking.

Published
2017

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