Agronomical evaluation of six soybean cultivars using correlation and regression analysis under different irrigation regime conditions

Abstract

Two field experiments were conducted during summer seasons of 2011 and 2012 to study the effect of irrigation regimes at different growth stages on seed, oil and protein yields of soybean cultivars. The interrelationships among seed yield ha-1 and its attributes through simple correlation and stepwise regression analysis were evaluated. The results indicated that the percentages of oil and protein in the seeds were significantly affected by water regimes and caused a decrease in oil percentage and increase in protein percentage. In addition, both oil and protein output per unit area was significantly reduced, as water regimes increased. The results showed that skipping irrigation during vegetative, flowering and pod filling stages had no effect on economic yield and save 14% from total irrigation costs of soybean production, but skipping two or three irrigations during vegetative, flowering and pod filling stages had effect on economic yield of soybean production under the environmental conditions of Giza region. Results revealed that Giza 111 proved to be the best cultivar followed by Giza 21 among the six cultivars included in the test under different water regime. Simple correlation analysis indicated that seed yield ha-1 was positively correlated with number of branches plant-1 , number of pods plant-1 , 1000-seed weight and seed yield plant-1. Stepwise regression procedure indicated that number of branches plant-1 , number of pods plant-1 and number of seeds pod-1 , were the most important characters affecting seed yield ha-1. Combined analysis of variance (ANOVA) showed that effect of irrigation regimes, cultivars and irrigation regimes × cultivars on seed, oil and protein yield were significant.

Correlations between traits in soybean (Glycine max L.) naturally infected with Asian rust (Phakopsora pachyrhizi)

“…The strong linear association found between TNP and Y corroborate previous results (Arshad et al, 2006;Oz et al, 2009;El-Badaway and Mehasen, 2012;Nogueira et al, 2012;Valencia-Ramirez and Moreno, 2012;El-Mohsen et al, 2013;Okonkwo and Idahosa, 2013), suggesting that selection based on the number of pods per plant contributes to the selection of genotypes with high grain yields.…”

“…This result disagrees with those obtained by El-Mohsen et al (2013), who reported significant positive correlations between HPM and TNP with six soybean cultivars over two consecutive seasons when evaluating the effects of irrigation on different stages of seed development. NDB was significantly and positively phenotypically correlated with NDM, NP2G, and TNP, with genotypic correlations greater than 0.63 (Table 2).…”

Heritability, Genetic Advance and Path Coefficient Analysis for Grain Yield and its Component Characters in Soybean (Glycine max L. Merrill)

“…Genotypic correlation coefficient values were greater for most of the characters than their corresponding phenotypic correlation coefficient values, indicating inherent association of the characters. Positive significant associations were obtained between grain yield and plant height because these tall lines generally excelled in their capacity to support seed growth by stem reserve mobilization [23]. Therefore, selection for tall plants tends to increase grain yield per plant.…”

Description of the Relationships Between Different Plant Characteristics in Soybean Using Multivariate Adaptive Regression Splines (Mars) Algorithm

“…In the regression model, it was shown that plant height, seed-filling period and total dry matter affect the yield of soybean. El-Mohsen et al (2013) showed simple linear regression analysis of important relationships of irrigation regimes and seed, oil and protein yield. The obtained models were Y=2976-258.9X (R 2 =0.62), Y=568.1-50.55X (R 2 =0.54), Y=1187-96.96X (R 2 =0.64).…”