Biometric attributes

The present study entitled “Evaluation of thirty amaranthus genotypes (Amaranthus tricolor L.) for different biometric characters” was carried out in the Department of Plant Breeding and Genetics, College of Agriculture, Vellayani during 2016-2018, with an objective to evaluate the amaranthus genotypes in terms of yield and other yield attributing characters and to assess the variability.

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Studies were undertaken to elicit information on performance of Bambusa balcooa and Bambusa vulgaris across five agro climatic regions as well as different age gradations, association among the biometric attributes. Bambusa balcooa proved its significant phenotypic superiority in terms of all the biometric attributes studied. The performance of Bambusa balcooa across the agro climatic regions viz., North Eastern Zone, Northern Zone, Western Zone, Cauvery Delta Zone and Southern Zone was also consistent and higher than the Bambusa vulgaris and Bambusa bambos.

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An attempt has been made in the present investigation to assess the influence of various biometrical characters across different growth stages in Brinjal crop yield along with various yield attributing characters across four growth stages using ANN models. Results of seedling stage had indicated that plant height, girth and number of primary branches could together predict the crop yield to an extent of 83 % for training set and 62 % for validation of model accuracy.

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Genetic variability, heritability, genetic advance of yield attributing characters and their association among them on yield are paramount importance for crop improvement. Correlation and path analysis are important biometrical tools for getting information regarding inter-relationship among various traits used in selection programme. In the present study, twelve yield and yield related parameters have been studied in 374 diverse genotypes of greengram.

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Preliminary evaluation was carried out to select the fuelwood tree species based on biometric attributes viz., shoot length, basal diameter and volume index under field conditions. This study involved fifteen tree species viz.

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A field experiment entitled “Biometrical studies in chilli (Capsicum annum.L) carried out in RBD Design with three replication during the Kharif season 2016, at Instructional - Cum- Research Farm, Department of Horticulture ,College of Agriculture, Latur, V.N.M.K.V., Parbhani. The correlation and path analysis were studied in twenty genotypes in chilli for 14 different qualitative and quantitative characters.

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Investigations were carried out to draw out information in 30 progenies of Ailanthus excelsa Roxb. genetic resources to elicit information on the Variability, Heritability and Genetic advance among the biometric and physiological attributes. The number of branches registered maximum PCV and GCV followed by volume index, plant height and basal diameter and chlorophyll ‘a’, chlorophyll ‘b’, chlorophyll a/b ratio and total chlorophyll content had recorded low phenotypic coefficient of variation and genotypic coefficient of variation.

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The field experiment was conducted at college farm, CAET, NAU, Dediapada, during rabi season 2017-18. The experiment was laid out in randomized block design with four replications, keeping five treatments of T1- Drip irrigation with 0.6 PEF, T2 - Drip irrigation with 0.6 PEF, Drip + Black Plastic Mulch 50 µ with (56 % coverage), T3 - Drip irrigation with 0.6 PEF, Drip + sugarcane trash mulch @ 5 t/ha with (56 % coverage), T4 - surface irrigation IW/CPE: 1, 60 mm depth + sugarcane trash mulch @ 5 t/ha (56 % coverage) and T5 - surface irrigation IW/CPE: 1 (control) with 60 mm depth.

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An experiment was conducted during 2010-11 to find out the “Response of foliar feeding of Gluconate and EDTA chelated plant nutrients on growth, yield and absorption of nutrients by leaves in Bt-cotton under rainfed condition” at Department of Soil Science and Agril Chemistry, VNMKV, Parbhani. The experiment includes seventeen treatment includes viz.

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The present study was undertaken with a view to study the effect of different level of irrigation on biometric parameters of rice crop such as growth, yield and yield attributes and water use efficiency under surface and subsurface drip irrigation. The results shows that the biometric parameters such as plant height, number of tillers per plant, plant dry matter and LAI for rice crop were found maximum in the treatments T3 (subsurface drip) and T8 (conventional irrigation). Water supply to the crops was significantly higher in the treatment T8 as compared to other treatments.

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