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20193
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Subject: Plant Breeding × End date: 2019 × Type: Thesis × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    GENOTYPE × ENVIRONMENT INTERACTION USING AMMI AND GGE BIPLOT ANALYSIS IN BARLEY (Hordeum vulgare L.)
    (CSKHPKV. Palampur, 2019-07-20) LOYAL, ATUL; Naval, Kishore
    The present investigation was carried out for G×E interaction and stability analysis of twenty one barley genotypes for eleven traits at five different locations during rabi 2017-18. The pooled analysis of variance across environments exhibited significant mean sum of square due to genotypes and environments indicating sufficient variability among the genotypes and environments for all the traits studied. Genotype × Environment interaction and stability analysis following Additive Main Effect and Multiplicative Interaction (AMMI) model also exhibited significant variance due to genotypes, environments and G×E interaction indicating presence of sufficient variability among the genotypes and environments. Environments explained the greater proportion of total variation for most of the characters followed by genotypes and genotype × environment interaction (GEI). The mean squares for the IPCAI and IPCAII cumulatively contributed more than 60 per cent of the total G×E interaction for all the traits, highest being 97.94 per cent for peduncle length (cm) and lowest for harvest index (61.24%). The „which won where‟ pattern showed that no single genotype was found stable as well as high yielding for more than one trait. Genotypes G3 (BHS 467) and G16 (VLB 158) showed high mean performance and stability for biological and grain yield per plant across environments. Genotype G20 (HBL 113) was the winner for the trait number of effective tillers per plant across all environments. Genotype G3 (BHS 467) was also the most stable genotype for days to 50% flowering, days to 75% maturity and biological yield per plant, whereas genotype G6 (HBL 793) showed high mean and stability for plant height, number of grains per spike and harvest index. Genotype G8 (HBL 812) outperformed all the genotypes for four traits in Bajaura (no. of grains/spike, spike length, biological yield/plant and grain yield/plant and); for spike length in Katrain and for three traits (no. of grains/spike, biological yield/plant and grain yield/plant) in Kangra, Berthin and Malan. Hence, HBL 812 was the winner genotype for grain yield in four environments.
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    ThesisItemOpen Access
    GENETIC ANALYSIS OF INDUCED MUTANTS OF CHICKPEA (Cicer arietinum L.) FOR SEED YIELD AND ITS COMPONENT TRAITS
    (CSKHPKV, Palampur, 2019-07) Kishore, Naval; Katna, Gopal
    The field experiment was conducted during Rabi 2016-17 at experimental farm of Department of Crop Improvement, CSK HPKV, Palampur to estimate the extent of induced variations for seed yield and component traits and to identify potential mutants for various agro morphological traits in chickpea.The experimental materials comprised of 240 mutant lines of chickpea genotype (PG 0027) and three checks, namely, PG 0027, HPG-17 and GPF-2. These mutant lines were evaluated in an Augmented Block Design during rabi 2016-17 with respect to days to 50 per cent flowering, days to 75 per cent maturity, plant height, primary branches, pods per plant, seeds per pod, biological yield per plant, seeds yield per plant, harvest index and 100-seed weight. Sufficient genetic variability was observed for seed yield and yield related traits under study. Based on the mean performance of different lines, it was observed that T1 (P2) and T1 (P3) i.e.100 Gy treatment were superior to checks PG 0027, HPG-17 and GPF-2 for seed yield per plant. The superior performance of genotypes was the result of their better performance for days of flowering, biological yield, branches per plant and pods per plant, While T2 (P10) i.e 150 Gy treatment had high seed yield per plant, biological yield, seeds per pod, harvest index and seeds per pod.The estimates of phenotypic coefficient of variation, genotypic coefficient of variation, heritability (broad sense) and genetic advance (as a per cent of mean) were high for biological yield per plant, seeds per pod, 100-seed weight and seed yield per plant indicated the importance of additive gene action and suggested that early selections for these traits could be effective. Correlation studies revealed that seed yield per plant had a positive and significant association with pods per plant, seeds per pod, harvest index and 100-seed weight. The superior lines can be further evaluated for possible release as improved variety(s) and/or can be utilize in further breeding programmes.
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    ThesisItemOpen Access
    G × E INTERACTION AND PHENOTYPIC STABILITY ANALYSIS USING GGE BIPLOT AND AMMI MODELS IN LINSEED (Linum usitatissimum L.)
    (CSKHPKV, Palampur, 2019-05-30) Nareshbhai, Satasiya Pratik; Paul, Satish
    The present investigation entitled “G × E interaction and phenotypic stability analysis using GGE biplot and AMMI models in linseed (Linum usitatissimum L.)” was undertaken during rabi 2017-18 at the Experimental farm of the Department of Crop Improvement, CSK HPKV, Palampur and three research stations namely, Rice and Wheat Research Centre (RWRC) Malan, Shivalik Agricultural Research and Extension Centre (SAREC) Kangra and Hill Agricultural Research and Extension Centre (HAREC) Dhaulakuan of CSK HPKV, Palampur. Thirty linseed genotypes comprising 16 advanced breeding lines, 11 released varieties and three exotic collections were grown in alpha design, with the objective to estimate genotype × environment (GE) interaction effects and identify the stable linseed genotypes for yield and component traits over wide range of environments. Data were recorded on various yield and attributing characters and reaction to diseases i.e. powdery mildew and rust. The data analysis was done as per the standard statistical procedures. The analysis of variance for each environment showed significant differences among the genotypes for all the characters studied. The pooled analysis of variance as per AMMI and GGE analysis revealed significant differences among the genotypic, environmental and G × E interaction effects for all the characters studied, indicating presence of sufficient variability among the genotypes and environments as well as differential response of genotypes in different environments for these traits. G × E interaction was divided into first three principal components, of which all of them were significant for all the characters. The first two principal components were able to explain more than 70 per cent of the variation by genotypes and G × E interaction, they provided good approximation for interpretation of the biplots. On the basis of AMMI and GGE biplots, KL-241, KL-263 and Surbhi were high yielding and most stable genotypes. For fibre yield per plant genotypes KL-284, KL-269 and KL-227 were stable for fibre yield per plant. The genotypes KL-280, KL-236 and Him Alsi-2 were having higher seed yield per plant in environment Palampur-I and Kangra than the average in other environments whereas, the genotypes KL-219, Bhagsu and Giza-8 in environments Palampur-II and Malan; KL-263 and Surbhi in environment Dhaulakuan, the farmers can grow these genotypes at its relevant environment to get maximum benefit. Environments Dhaulakuan and Kangra were having highest representativeness to discriminate the genotypes for fourteen and eleven characters out of sixteen on the basis of their performance. Hence, these environments can be useful for selecting the stable genotypes during breeding programmes. Five genotypes viz., KL-241, KL-263, KL-285, Jeewan and Nagarkot were found to be resistant to powdery mildew as well as rust under natural epiphytotic conditions. Genotypes KL-241 and KL-263 were found to be best genotypes for most of the economic traits as well as resistant to powdery mildew and rust.