Zobrazeno 1 - 10
of 210
pro vyhledávání: '"Multi-environment trial"'
Publikováno v:
Artificial Intelligence in Agriculture, Vol 8, Iss , Pp 60-76 (2023)
The expression of quantitative traits of a line of a crop depends on its genetics, the environment where it is sown and the interaction between the genetic information and the environment known as GxE. Thus to maximize food production, new varieties
Externí odkaz:
https://doaj.org/article/c5ba390e14ef4fa3b0f7d8870ffae016
Autor:
Runfeng Wang, Hailian Wang, Shaoming Huang, Yingxing Zhao, Erying Chen, Feifei Li, Ling Qin, Yanbing Yang, Yan’an Guan, Bin Liu, Huawen Zhang
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Grain sorghum is an exceptional source of dietary nutrition with outstanding economic values. Breeding of grain sorghum can be slowed down by the occurrence of genotype × environment interactions (GEI) causing biased estimation of yield performance
Externí odkaz:
https://doaj.org/article/0c19c38f1d744b31a9d75733fc3c4314
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Genotype-by-environment interaction (GEI) is among the greatest challenges for maize breeding programs. Strong GEI limits both the prediction of genotype performance across variable environmental conditions and the identification of genomic regions a
Externí odkaz:
https://doaj.org/article/85169c5b282f437aabc55cba4c034191
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Common vetch is one of the most profitable forage legumes due to its versatility in end-use which includes grain, hay, green manure, and silage. Furthermore, common vetch is one of the best crops to rotate with cereals as it can increase soil fertili
Externí odkaz:
https://doaj.org/article/18c8fec6b4cc48d6aabac647dee2e959
Autor:
Hajrial Aswidinnoor, Risky Listiyanto, Syaifullah Rahim, Holidin, Heny Setiyowati, Anggi Nindita, Arya Widura Ritonga, Siti Marwiyah, Willy Bayuardi Suwarno
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 7 (2023)
Rice is a major world staple food crop, and therefore breeding improved varieties is of ultimate importance. Genotype-by-environment analyses are essential to understand the potential performance of the lines over environments. This study aimed to el
Externí odkaz:
https://doaj.org/article/300a66fd23534248bf07a715e014e98d
Autor:
Vincent Ishola Esan, Grace Oluwasikemi Oke, Timothy Oyebamiji Ogunbode, Idowu Arinola Obisesan
Publikováno v:
Frontiers in Plant Science, Vol 13 (2023)
IntroductionThe two most common styles to analyze genotype-by-environment interaction (GEI) and estimate genotypes are additive main effects and multiplicative interaction (AMMI) and genotype + genotype × environment (GGE) biplot. Therefore, the aim
Externí odkaz:
https://doaj.org/article/016d57e2aede4b9cbf3d336b4e43f8e0
Akademický článek
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Akademický článek
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Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-25 (2021)
Abstract Large-scale phenotype data can enhance the power of genomic prediction in plant and animal breeding, as well as human genetics. However, the statistical foundation of multi-trait genomic prediction is based on the multivariate linear mixed e
Externí odkaz:
https://doaj.org/article/aac15e59778c49368fcc0b6698c8ad53
Autor:
S. B. Lepekhov
Publikováno v:
Труды по прикладной ботанике, генетике и селекции, Vol 181, Iss 4, Pp 14-21 (2020)
Background. Genotype–environment interaction complicates selection of lines in plant breeding. Researchers have developed different ways to classify environments to mitigate its effect. The use of correlation analysis between yields of cultivars gr
Externí odkaz:
https://doaj.org/article/0267e59c84c540feb961fe1ab6e5022d