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A field experiment was conducted during the Kharif seasons of 2010, 2011 and 2012 to study the effect of planting density and integrated nutrients on flowering, growth and yield of vegetable cowpea cv. AVCP-1 at Horticultural Research Farm, AAU, Anand.The experiment was laid out in split plot design with three replications. From the three year data, it was found that plating density 60 x 30 cm recorded the highest plant height however, it was comparable with 45 x 45 cm. Planting density 45 x 45 cm recorded maximum pod weight and green pod yield which remained at par with planting density 60 x 30 cm. Whereas, planting density did not show any significant effect on days to flower initiation, days to 50 per cent flowering, number of branches per plant, pod length and number of seeds per pod. Application of nutrients 30 + 60 + 0 kg NPK / ha recorded significantly the earliest flowering. Application of fertilizer resulted in significant decreased in nodule production. However,any nutrients treatment did not observe the significant difference for days to 50 per cent flowering, plant height, number of branches per plant, yield attributing characters and green pod yield. KEY WORDS :Cowpea, Nutrient management, Spacing, Split plot design HOW TO CITE THIS ARTICLE : Satodiya, B.N., Patel, H.C. and Soni, N.V. (2015). Effect of planting density and integrated nutrient management on flowering, growth and yield of vegetable cowpea [Vigna unguiculata (L) Walp]. Asian J. Hort., 10(2) : 232-236.Click www.researchjournal.co.in/online/subdetail.html to purchase.

Stable performance of grain amaranths genotypes at specific environment is critical for obtaining high and consistent yield. This study was conducted to assess grain yield stability of thirteen genotypes in varied environments in three successive growing seasons and effects of genotype (G) and genotype×environment (GE) interaction were illustrate graphically based on "what-won-where" to advocate genotypes for a specific environment, using GGE biplot. Result of study revealed that GGE biplot was effective to recognize stable and highest yield (1648.92 kg/ha) genotype as G5 followed by G6 (1457.24 kg/ha) and G3 (1268.62 kg/ha) genotypes while the genotype G7 had the lowest grain yield and was the least stable across varying environments. This study could be aid tool for endorsement of amaranths genotypes for specific environment, taking into elucidation the peculiarities of genotypes and growing stipulation. KEYWORDS GGE biplotGrain amaranths Grain yieldWhat-won-where

In the present study, additive main effects and multiplicative interactions (AMMI) biplot analyses was used to dissect genotype x environment interaction (GEI) and to identify location specific and widely adapted genotypes for root branches, diameter and length in ashwagandha [Withania somnifera (L.) Dunal]. Trials were conducted in randomized complete block design (RCBD) with two replications over three consecutive years at three different locations. ANOVA analysis revealed environment, G×E interaction and genotype effects to contribute significantly (p less than 0.001) towards total sum of squares for root branches (61.00%, 22.18% and 14.00%); root diameter (51.06%, 24.26% and 15.34%) and root length (65.67%, 20.82% and 11.39%). Further, the GEI for these traits was mostly explained by the first, second and third principal component axis (IPCA1, IPCA2 and IPCA3). AMMI1 and AMMI2 biplot analyses showed differential stability of genotypes for root branches, diameter and length with few exceptions. Environmental contribution towards the genotypic performance from AMMI1 and AMMI2 analysis for root traits except environment Bhi16 contribution for root diameter and root length. AMMI1 biplots and simultaneous selection index (SSI) statistics identified SKA-11 as the most desirable genotype for root branches and length while SKA-26 and SKA-27 for root diameter. The ashwagandha genotypes identified for root attributes could be advocated either for varietal recommendation or in varietal development program.

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