Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Fabiano Pita"'
Autor:
Ulrike Beukert, Zuo Li, Guozheng Liu, Yusheng Zhao, Nadhigade Ramachandra, Vilson Mirdita, Fabiano Pita, Klaus Pillen, Jochen Christoph Reif
Publikováno v:
Rice, Vol 10, Iss 1, Pp 1-10 (2017)
Abstract Background Hybrid rice breeding facilitates to increase grain yield and yield stability. Long-term success of hybrid breeding depends on the recognition of high-yielding complementary heterotic patterns, which is lacking in crops like rice.
Externí odkaz:
https://doaj.org/article/f9e44366c62d433fa2076decd5f5a987
Autor:
Zuo Li, Nadhigade Ramachandra, Jochen C. Reif, Ulrike Beukert, Fabiano Pita, Vilson Mirdita, Klaus Pillen, Guozheng Liu, Yusheng Zhao
Publikováno v:
Rice, Vol 10, Iss 1, Pp 1-10 (2017)
Rice
Rice
Background Hybrid rice breeding facilitates to increase grain yield and yield stability. Long-term success of hybrid breeding depends on the recognition of high-yielding complementary heterotic patterns, which is lacking in crops like rice. Result Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c7aa2ebbbc55a18510a2ab8fb1d6cf1
http://link.springer.com/article/10.1186/s12284-017-0163-4
http://link.springer.com/article/10.1186/s12284-017-0163-4
Autor:
José Crossa, Gustavo de los Campos, Fabiano Pita, Geert De Meyer, Krishna D. Bondalapati, Paulino Pérez-Rodríguez
Publikováno v:
Crop Science. 55:1143-1151
Genotype × environment interaction (G × E) plays a fundamental role in important agricultural traits such as grain yield or disease resistance. Therefore, modeling G × E is essential for the selection of high yielding and well-adapted varieties. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c463242990cec0cacb4a2a720226608
https://doi.org/10.2135/cropsci2014.08.0577
https://doi.org/10.2135/cropsci2014.08.0577
Publikováno v:
Conference on Applied Statistics in Agriculture.
Evaluations of genotypes in varied environmental conditions are referred to as multiple environment trials (MET), and are used in advanced stages of plant breeding programs to identify genotypes with superior performance across environments and withi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bbf8dc54852fb760f86771168fb7ff4
https://doi.org/10.4148/2475-7772.1054
https://doi.org/10.4148/2475-7772.1054