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Leva R.L.,Navsari Agricultural University | Leva R.L.,Main Cotton Research Station | Thanki J.D.,Navsari Agricultural University | Patel D.D.,Navsari Agricultural University | Patel T.U.,Navsari Agricultural University
Research on Crops

A field experiment was carried out at Achhalia, Navsari Agricultural University during the years 2008-09 and 2009-10 to study the effect of planting methods and N-K fertigation on growth and yield of turmeric (Curcuma longa L.). Treatments comprised planting methods i. e. raised bed 135 180 and 225 cm width) and fertigation levels (80, 100 and 120% RD of N and K). Raised bed planting at 135 cm width recorded significantly higher plant height, LAI, number of tillers, number and weight of rhizomes per plant as well as yield over flat method of planting. Fertigation of 120% RD of N and K influenced remarkably growth and yield attributes as well as rhizome yield along with maximum net realization of Rs 135945/ha. Source

Ban Y.G.,Mahatma Phule Agricultural University | Kumar V.,Main Cotton Research Station
Indian Journal of Plant Physiology

A field experiment was conducted during 2012–2013, and 2013–2014 with two dates of sowing as main plot and six genotypes as sub-plot treatments. Late sowing resulted in significant reduction in the days to 50 % flowering, days to 50 % boll bursting and days to maturity as well as number of GDDs for boll bursting and maturity compared to normal sowing. The fiber quality parameters, viz., 2.5 % span length, uniformity ratio, micronaire value, fiber strength, elongation and fiber maturity exhibited significant decline under late sowing. However, short fiber index increased under late sowing. Late sown crop could not develop a full canopy surface area as evidenced by reduced plant height, sympodia, leaf area and LAI at different growth stages. The Bt hybrid, Ankur-3028 BG-II recorded significantly higher plant height, sympodia, number of bolls, boll weight, seed cotton yield, seed and lint index and fiber properties like 2.5 % span length, fiber strength. The Bt hybrid G.Cot.Hy.-8 BG-II was early in terms of days to 50 % squaring, flowering, boll bursting and maturity and required less GDDs to attain a particular growth stage. The genotype Ankur-3028 BG-II took significantly higher number of GDDs during flowering to boll opening stage. © 2015, Indian Society for Plant Physiology. Source

Patil B.,Agriculture Research Station | Kumar V.,Main Cotton Research Station | Babu A.G.,Agriculture Research Station | Ratnakumari S.,RARS | And 5 more authors.
Plant Archives

The adaption of Bt technology has significantly increased the productivity and yield of cotton in India, pushing India as second largest producer of cotton in the world. At present there are more than 1300 Bt cotton hybrids available in India for cultivation. The farmer finds it difficult to choose the best ones for his field. There is more fluctuation in yield across the years and locations of Bt cotton genotypes. Therefore it has become difficult to suggest the genotypes across seasons, locations or the performance of genotypes year after year. This necessitiates the identification of stable yielding genotypes across locations and years. This will ensure a fixed yield level under normal management conditions. There are several methods to determine the stabilities in crop genotypes. Recently many investigations have emphasized the Additive Mean Effects and Multiplicative Interaction (AMMI) model as a tool to analyze GXE interaction and to define stability for each genotype. The AMMI modal has applied for G. hirsutum genotypes to work out the stability. The AMMI model separates the additive variance from the multiple variances than applies principal component (PCA) to the interaction portion to extract a new set of co ordinate axes which explain more detail GX E interaction pattern. Eighteen cotton genotypes obtained across the three zones in India were evaluated for their stability in yield and yield components under All India Coordinated Cotton Improvement Project (AICCIP) programme. These genotypes were subjected to AMMI method of analysis; fifteen environments were envisaged from five location situated in central zone of India (Surat, Khandwa and Parbhani) and south zone (Dharwad and Guntur) in two years 2006-07 and 2007-08 to investigate GX E interaction for yield and yield components by AMMI analysis. The genotypes KH-138 and CPD-755 recorded significantly high mean yield (1579 & 1365 Kg/ha respectively) and least deviation (bi) (10.1&0.99 respectively), while LRA5166 and GSHV99/307 recorded significant deviation from the mean yield (1325.4 & 1348.3Kg/ha respectively) and bi (0.659 & 1.418 respectively), showed their instability. AMMI assay helped in visual interpretation of the GXE patterns & identify the genotypes or locations that exhibits low to high interaction effects. It is also effective in identifying the genotypes that have specific interaction & non-interaction. Source

Singh C.,Navsari Agricultural University | Kumar V.,Main Cotton Research Station | Prasad I.,Indian Central Soil Salinity Research Institute | Patil V.R.,ACHF | Rajkumar B.K.,Main Cotton Research Station
Journal of Crop Science and Biotechnology

Drought tolerance as such is often not considered to be an independent trait by plant breeders. The objective of this study was to evaluate eight drought tolerance indices, namely stress susceptibility index (SSI), yield stability index (YSI), yield reduction ratio (Yr), yield index (YI), tolerance index (TOL), mean productivity (MP), geometric mean productivity (GMP), and stress tolerance index (STI) in upland cotton (G. hirsutum L.) genotypes. For this purpose, 16 genotypes were sampled during the 2013-2014 growing seasons under both normal and drought-stress field conditions at the Main Cotton Research Station of Navsari Agricultural University, Surat, India. The drought tolerance indices were calculated based on seed cotton yield under drought stress and non-stress conditions. Mean comparison of drought tolerance indices and seed cotton yield validated the significant influences of drought stress on yield as well as significant differences among genotypes. Results of calculated correlation coefficients and multivariate analyses showed that GMP, MP and STI indices were able to discriminate drought-sensitive and tolerant genotypes. Cluster analysis using the drought-tolerance indices divided the 16 genotypes into tolerant and susceptible groups. Two genotypes, G.Cot.16 × H-1353/10 and H-1353/10 × G.Cot.16 gave good yield response under drought conditions leading to their stability during water stress conditions. Based on multivariate analyses using the indices individually or in combinations, it was possible to identify the most yield-stable genotypes across the environments. Overall, we concluded that GMP, MP and STI indices can be efficiently exploited not only for screening drought tolerance but also to identify superior genotypessuitable for both stress and non-stress field conditions. © Korean Society of Crop Science and Springer 2016. Source

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