Initial ranking analysis on wheat varietal attributes.
收藏数据链接：
官方服务：
资源简介：
Initial ranking analysis on wheat varietal attributes.
应用场景：
创建时间：
2022-08-11
相关数据集
Cowpea Yield Evaluation Trials - Lagos, 1993
The Cowpea Breeding Unit develops improved cowpea lines with high grain yield potential and resistance/tolerance to biotic and abiotic stresses and possessing farmers and consumers preferences. Data g
DataCite Commons2020-09-20 更新70
Test cross hybrids Mieso 2015
Data on agronomic traits of maturity, plant height, grain yield and plant aspect score collected for 309 experimental test cross hybrids, two hybrid and two OPV checks evaluated at Mieso (Western Hara
Harvard Dataverse2020-11-19 更新30
Combining multi-criteria decision analysis with agro-morphological-biochemical-molecular traits of interest for use in breeding in promising common bean breeding lines (Phaseolus vulgaris L.)
Common bean is one of the most important legumes in the world. This study analyzed 26 promising breeding materials of Phaseolus vulgaris L. for 12 quantitative and 15 qualitative traits to identify el
Figshare2024-12-16 更新10
Supplementary Table S1. Combined analysis of variance containing the degrees of freedom (DF), mean squares (MS), P value (P val.), mean, coefficient of experimental variation (CEV%) and selective accuracy (SA) for the traits of luminosity (L*), chromaticity a* (a*), chromaticity b* (b*), grain length (length, mm), grain width (width, mm), grain thickness (thickness, mm), mass of 100 grains (Mass, g), normal grains (Ng, %), water absorption (absorption, %), cooking time (Ct, min:s), and concentrations of potassium (K, g kg-1 dry matter - DM), phosphorus (P, g kg-1 DM), calcium (Ca, g kg-1 DM), magnesium (Mg, g kg-1 DM), iron (Fe, mg kg-1 DM), zinc (Zn, mg kg-1 DM), and copper (Cu, mg kg-1 DM) obtained in 25 common bean cultivars evaluated in four experiments carried out from 2019 to 2021
Table S1. Combined analysis of variance. Indirect selection for multiple technological and nutritional traits in common bean cultivars under different degrees of multicollinearity Bragantia, 2024.
NIAID Data Ecosystem10
