000			04063nab|a22004457a|4500
999			_c62475 _d62467
001			62475
003			MX-TxCIM
005			20231017234312.0
008			200818s2020||||ne |||p|op||||00||0|eng|d
022			_a0378-4290
024	8		_ahttps://doi.org/10.1016/j.fcr.2020.107848
040			_aMX-TxCIM
041			_aeng
100	1		_915427 _aMunaro, L.B.
245	1	0	_aExploring long-term variety performance trials to improve environment-specific genotype × management recommendations : _ba case-study for winter wheat
260			_aAmsterdam (Netherlands) : _bElsevier, _c2020.
500			_aPeer review
520			_aThe 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.
546			_aText in English
650		7	_aGenotype environment interaction _2AGROVOC _91133
650		7	_aLong term experiments _2AGROVOC _913430
650		7	_aManagement _2AGROVOC _93463
700	1		_915428 _aHefley, T.J.
700	1		_915429 _aDeWolf, E.D.
700	1		_aHaley, S. D. _8001713837 _gFormerly TBC _94336
700	1		_93758 _aFritz, A.K.
700	0		_915430 _aGuorong Zhang
700	1		_915431 _aHaag, L.A.
700	1		_99475 _aSchlegel, A.
700	1		_915432 _aEdwards, J.T.
700	1		_915433 _aMarburger, D.A.
700	1		_9918 _aAlderman, P.D.
700	1		_915434 _aJones-Diamond, S.M.
700	1		_91712 _aJohnson, J.
700	1		_915435 _aLingenfelser, J.E.
700	1		_915436 _aUnêda-Trevisoli, S.H.
700	1		_915437 _aLollato, R.P.
773	0		_gv. 255, art. 107848 _dAmsterdam (Netherlands) : Elsevier, 2020. _x0378-4290 _tField Crops Research _wu444314
942			_cJA _n0 _2ddc