000			02932nab|a22003737a|4500
001			65746
003			MX-TxCIM
005			20231027172057.0
008			20221s2022||||mx |||p|op||||00||0|eng|d
022			_a1542-7528
022			_a1542-7536 (Online)
024	8		_ahttps://doi.org/10.1080/15427528.2022.2134072
040			_aMX-TxCIM
041			_aeng
100	1		_aMachida, L. _8INT3439 _9955 _gGlobal Maize Program
245	1	0	_aREMATTOOL-R : _ba smart tool for identifying superior maize genotypes from multi-environment yield trials
260			_bTaylor and Francis, _c2023. _aUSA :
500			_aPeer review
500			_aOpen Access
520			_aBreeders routinely evaluate many experimental hybrids that may be of different maturities. In maize (Zea mays L.), days to 50% anthesis and percent grain moisture content are used as proxies for relative maturity. The lack of an easy-to-use statistical tool that gives yield potential of all entries in a trial while classifying them into different relative maturity categories in a single visualization makes it difficult to quickly assess superior genotypes. We report on a tool called REMATTOOL-R to aid breeders in visualizing and assessing the relationship between yield and certain agronomic traits, viz., days to anthesis, percent harvest grain moisture content, and number of harvested plants, and help them in advancing experimental hybrids to the next stage. REMATTOOL-R uses either Best Linear Unbiased Estimators (BLUEs) or Best Linear Unbiased Predictors (BLUPs) of yield and agronomic traits from multilocation trials to perform various computations. The various computations produce graphical and tabular visualizations of the relationship between grain yield and days to anthesis, moisture content, and number of harvested plants that can be used to support selection decisions by the breeder. REMATTOOL-R output tables show entries with at least 5% higher yield than the check varieties in the trial. REMATTOOL-R is a robust, simple, user-friendly, and easily comprehensible tool, convenient for identifying superior genotypes during all the trial stages of a maize breeding program. REMATTOOL-R will be useful to breeders and researchers in related disciplines.
546			_aText in English
591			_aHuerta Rodriguez, F. : Not in IRS staff list but CIMMYT Affiliation
650		7	_aMaize _2AGROVOC _91173
650		7	_aVarieties _2AGROVOC _91303
650		7	_aMaturity _2AGROVOC _911093
650		7	_aIdentification _2AGROVOC _96140
650		7	_aYields _2AGROVOC _91313
700	1		_aHuerta Rodriguez, F. _929326
700	1		_aMakumbi, D. _8INT2765 _9858 _gGlobal Maize Program
700	1		_aTarusenga, M. _929327
773	0		_tJournal of Crop Improvement _dUSA : Taylor and Francis, 2023. _x1542-7528 _gv. 37, no. 5, p. 663–686 _w94851
856			_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/22275
942			_cJA _n0 _2ddc
999			_c65746 _d65738