Seed yields of 15 soybean genotypes were evaluated in three locations i.e. Bursa, Samsun and Konya under main crop conditions through summer seasons from 2014 to 2016. The used design was a randomized complete block design with four replications. This research is aimed to estimate the stability parameters of seed yield of 15 soybean genotypes by used different stability analysis methods over nine environmental conditions and to study interrelationship among these stability methods. Genotypes, environments and genotype by environment interactions (GEI) played a significant role in terms of seed yield in this study. The genotypes KAMD 03, BATEM 306, BDUS 04, ARISOY and ATAEM 07 had higher seed yields and regression coefficient values above 1.0. These genotypes are sensitive to environmental variations and would be suggested for cultivation under favourable conditions, whereas KAMD 01, KASM 02 and KASM 03 with bi<1 and lowest average yields were poorly adapted across unfavourable environment conditions. The genotype BDSA 05 having regression coefficient below 1.0 and higher seed yield than average yield were goodly adapted to unfavourable environment conditions. The results of most parametric and non-parametric stability analyses showed that genotypes BDUS 04, KASM 02, KASM 03, KAMD 03 and BDSA 05 were stable genotypes. These genotypes were demonstrated superior adaptability with high yield performances in many environments. Results of correlation analysis indicated that seed yield was significantly correlated with Ri 2 (P<0.05), Si(3) (P<0.05), Di (P<0.01), Si(6) (P<0.01), TOP (P<0.01) and showed a negative and significant correlation with Pi and RS (P<0.01). The coefficient of regression (bi) had positively significant associated with CVi, αi, Si(3) and Si(6) (P<0.01) and with the superiority parameter (TOP) (P<0.05).
This research was conducted in Bursa, Marmara region, Turkey, in order to determine grain yield and some morphological traits which affect the silage maize response to different irrigation water amounts. The grains' percentage of crude oil and of crude protein were determined. Field experiments were planned following randomized complete block design with three replications and included six irrigation treatments. Irrigation treatments were created as water levels of pan evaporation (Epan) applied via drip irrigation [1.25 × Epan (I125), 1.00 × Epan (I100), 0.75 × Epan (I75), 0.50 × Epan (I50), 0.25 × Epan (I25) and 0 × Epan (I0)]. The highest value of grain yield was found to be 18,268 kg ha -1 in the I125 treatment, which represents excessive water. A quadratic relationship between grain yield and irrigation water applied was obtained. Deficit irrigation decreased grain yield and yield components except the percentage of crude oil and crude protein of grain, but improved the efficient use of irrigation water. Relationships between the grain yield and each yield component were positively significant. The highest correlation coefficient in the research gave the relationship between grain yield and plant height (r=0.957 ** ). The results revealed that 1.25 × Epan and 1.00 × Epan treatments are preferable for higher yield. The results of this study also suggest that if water is limited, the application of 0.75 × Epan can be recommended as optimal treatment, because the best compromise among yield, yield components, quality and irrigation water use efficiency for maize was achieved with this application.
This research was conducted in Bursa, Marmara region, Turkey, in order to determine grain yield and some morphological traits which affect the silage maize response to different irrigation water amounts. The grains’ percentage of crude oil and of crude protein were determined. Field experiments were planned following randomized complete block design with three replications and included six irrigation treatments. Irrigation treatments were created as water levels of pan evaporation (Epan) applied via drip irrigation [1.25 × Epan (I125), 1.00 × Epan (I100), 0.75 × Epan (I75), 0.50 × Epan (I50), 0.25 × Epan (I25) and 0 × Epan (I0)]. The highest value of grain yield was found to be 18,268 kg ha-1 in the I125 treatment, which represents excessive water. A quadratic relationship between grain yield and irrigation water applied was obtained. Deficit irrigation decreased grain yield and yield components except the percentage of crude oil and crude protein of grain, but improved the efficient use of irrigation water. Relationships between the grain yield and each yield component were positively significant. The highest correlation coefficient in the research gave the relationship between grain yield and plant height (r=0.957**). The results revealed that 1.25 × Epan and 1.00 × Epantreatments are preferable for higher yield. The results of this study also suggest that if water is limited, the application of 0.75 × Epan can be recommended as optimal treatment, because the best compromise among yield, yield components, quality and irrigation water use efficiency for maize was achieved with this application.
Results of correlation analysis indicated that seed yield in narbon bean (Vicia narbonensis L.) was correlated positively with harvest index, biological yield, weight, number of seed and number of pod per plant and also plant height and number of plant per m 2 . Path coefficient analyses revealed that harvest index and biological yield had higher positive direct effects on seed yield than other variables. Stepwise multiple regression analysis showed that 95.1% of total variation in seed yield could be explained by the variation in harvest index, biological yield and plant height. Results suggest that harvest index and biological yield are primary selection criteria for improving seed yield in narbon bean.
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