Exploring long-term variety performance trials to improve environment-specific genotype x management recommendations: A case-study for winter wheat

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorKansas State Univ-
Autor(es): dc.contributorColorado State Univ-
Autor(es): dc.contributorOklahoma State Univ-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorMunaro, L. B. [UNESP]-
Autor(es): dc.creatorHefley, T. J.-
Autor(es): dc.creatorDeWolf, E.-
Autor(es): dc.creatorHaley, S.-
Autor(es): dc.creatorFritz, A. K.-
Autor(es): dc.creatorZhang, G.-
Autor(es): dc.creatorHaag, L. A.-
Autor(es): dc.creatorSchlegel, A. J.-
Autor(es): dc.creatorEdwards, J. T.-
Autor(es): dc.creatorMarburger, D.-
Autor(es): dc.creatorAlderman, P.-
Autor(es): dc.creatorJones-Diamond, S. M.-
Autor(es): dc.creatorJohnson, J.-
Autor(es): dc.creatorLingenfelser, J. E.-
Autor(es): dc.creatorUneda-Trevisoli, S. H. [UNESP]-
Autor(es): dc.creatorLollato, R. P.-
Data de aceite: dc.date.accessioned2022-02-22T00:11:22Z-
Data de disponibilização: dc.date.available2022-02-22T00:11:22Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-09-15-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.fcr.2020.107848-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/197130-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/197130-
Descrição: dc.descriptionThe complex and interactive effects of genotype (G), environment (E), and management (M) can be a barrier to the development of sound agronomic recommendations. We hypothesize that long-term variety performance trials (VPT) can be used to understand these effects and improve regional recommendations. Our objective was to explore long-term VPT data to improve management and variety-selection recommendations using winter wheat (Triticum aestivum L.) in the U.S. central Great Plains as a case-study. Data of grain yield, variety, and trial management were collected from 748 wheat VPT conducted in the states of Colorado, Kansas, and Oklahoma over nineteen harvest years (2000-2018) and 92 locations, resulting in 97,996 yield observations. Using 30-yr cumulative annual precipitation and growing degrees days, we partitioned the study region into 11 contiguous sub-regions, which we refer to as growing adaptation regions (GAR). We used variance component analysis, gradient boosted trees, and conditional inference trees to explore the management and variety trait effects within each GAR. For the variety trait analysis, the VPT dataset was reduced to account for varieties for which 17 agronomic traits and 11 disease/insect reaction ratings were available (65,264 yield observations). GAR accounted for 46 % of the total variation in grain yield, M for 32 %, residuals (including interactions) for 13 %, year for 7 %, and G for 2 %. Conditional inference trees identified interactions among management practices and their effects on yield within each GAR. For instance, water regime was the most important practice influencing wheat yield in the semi-arid western portion of the study region, followed by sowing date and fungicide. In dryland trials, there was typically an interaction between fungicide, sowing date, and tillage system, depending on GAR. Other management practices (e.g. dual-purpose management, crop rotation, and tillage practice) also significantly affected yield, depending on GAR. The main variety trait associated with increased yields depended on region and management combination. For instance, drought tolerance was the most important trait in dryland trials while stripe rust tolerance was more relevant in irrigated trials in the semi-arid region. In this research, we demonstrated an approach that uses widely available long-term VPT data to improve management and variety selection recommendations and can be used in other regions and crops for which long-term VPT data are available.-
Descrição: dc.descriptionKansas Wheat Alliance-
Descrição: dc.descriptionKansas Agricultural Experiment Station (KAES)-
Descrição: dc.descriptionKansas State Univ, Dept Agron, Manhattan, KS 66506 USA-
Descrição: dc.descriptionKansas State Univ, Dept Stat, Manhattan, KS 66506 USA-
Descrição: dc.descriptionKansas State Univ, Dept Plant Pathol, Throckmorton Hall, Manhattan, KS 66506 USA-
Descrição: dc.descriptionColorado State Univ, Dept Soil & Crop Sci, Ft Collins, CO 80523 USA-
Descrição: dc.descriptionOklahoma State Univ, Dept Plant & Soil Sci, Stillwater, OK 74078 USA-
Descrição: dc.descriptionSao Paulo State Univ, Dept Crop Prod, Jaboticabal, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Dept Crop Prod, Jaboticabal, SP, Brazil-
Descrição: dc.descriptionKansas Wheat Alliance: GAGR004805BG5828-
Formato: dc.format15-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier B.V.-
Relação: dc.relationField Crops Research-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectG x E x M-
Palavras-chave: dc.subjectLong-term data-
Palavras-chave: dc.subjectExploratory analysis-
Palavras-chave: dc.subjectConditional inference trees-
Palavras-chave: dc.subjectManagement practices-
Título: dc.titleExploring long-term variety performance trials to improve environment-specific genotype x management recommendations: A case-study for winter wheat-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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