Cowpea data for three environments in the main rainy season in northern Ghana for 2016 cropping season.

The research hypothesis was that, F2-derived F8 Recombinant inbred lines could perform differently and even yield better than the parental checks under main growing season conditions in the three agro ecologies of northern Ghana.
Specifically, the study was designed to identify promising inbred lines with high yield potential, and then identify inbred lines with stable mean yield performance either with specific adaptation to a particular environment or across the three environments that will subsequently be recommended to farmers in the Guinea, Sudan and Transitional agro ecologies of Ghana
The experimental design used at each test location was a randomized complete block design with four replications. The seeds were planted according to the conditions for each location but were thinned to one plant per hill. Plot size was 3 m long; each plot contained 5 rows of 10 plants per row; with plant spacing of 60 cm between rows and 20 cm within rows with the number of entries being 24. Thus, each experimental unit consisted of 50 plants per plot, and each block contained 24 plots giving the total plots as 96 plots for the whole experiment for each location.
Data were recorded on plot bases for all three locations. Days from planting to first flowering for each plot was recorded, the date to 50% flowering data was recorded when half of the plants per plot produced flowers. Based on this information, the days to 50% flowering were estimated. At harvest, number of pods per plant, number of seeds per pod and hundred seed weight were taken as average of five randomly selected plants within a plot excluding the border plants. The weight of hundred seeds (g) for each treatment was determined by the use of an electronic balance. Data on grain yield was recorded on plot bases using three middle rows of 10 plants (30 plants per plot) in grams extrapolated to t/ha
The data for each location were subjected to Analysis of Variance (ANOVA) using GenStat statistical package 12th edition. Combined analysis of variance across locations for grain yield and yield components were also carried out to determine the interactive effects of genotypes by environment. The additive main effect and multiplicative interaction (AMMI) and the genotype, and genotype by environment interaction were concurrently determined using the Breeding management software (BMS) and GenStat.
Analysis of variance for each location as well as combined analysis of variance across all the locations revealed that there were significant differences among genotypes and their environments for grain yield and yield components indicating the presence of variability in the inbred lines as well as diversity of growing conditions and locations.

本研究假设，源自F2的F8重组自交系在北部加纳的三个农业生态区的主生长季节条件下，其表现可能不同，甚至可能优于亲本对照。具体而言，该研究旨在识别具有高产潜力的优良自交系，并进一步识别那些在特定环境中或跨三个环境具有稳定平均产量表现的自交系，这些自交系将随后被推荐给几内亚、苏丹和加纳过渡农业生态区的农民。在每个测试地点，实验设计采用了随机完全区组设计，设有四个重复。种子根据每个地点的条件种植，但每畦只保留一株植物。每个畦的长度为3米；每畦包含5行，每行10株植物；行间距为60厘米，株间距为20厘米，共有24个样本。因此，每个实验单位由每个畦50株植物组成，每个区组包含24个畦，整个实验在每个地点共有96个畦。在所有三个地点，均以畦为单位记录数据。记录了每个畦从播种到首次开花的天数，当每个畦一半的植物开花时，记录了50%开花的数据。基于这些信息，估计了50%开花的天数。在收获时，记录了每株植物的豆荚数、每荚种子数和百粒重，作为从每个畦中随机选取的五株植物的平均值（排除边缘植物）。每个处理的百粒重（克）通过电子秤确定。在畦的基础上，使用三个中间行中的10株植物（每畦30株）的谷物产量数据（以克为单位），并外推至公顷/吨。每个地点的数据均使用GenStat统计软件第12版进行了方差分析（ANOVA）。还对所有地点的谷物产量和产量成分进行了跨地点的方差分析，以确定基因型与环境之间的交互作用。同时使用育种管理软件（BMS）和GenStat确定了加性主效应和乘性交互作用（AMMI）、基因型和基因型与环境交互作用。每个地点的方差分析和跨所有地点的方差分析均表明，在谷物产量和产量成分中，基因型和其环境之间存在显著差异，这表明自交系中存在变异性，以及生长条件和地点的多样性。