Studies on growth, yield and quality parameters of carrot (Daucus carota L.) under different sowing dates
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Date
2022
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Punjab Agricultural University, Ludhiana
Abstract
Twenty-eight carrot (Daucus carota L.) genotypes were studied under eight sowing dates (environment E1-E8) over the two years (2019-20 and 2020-21) at Vegetable Research Farm, Punjab Agricultural University, Ludhiana. The data was recorded for the thirty different traits and subjected to the pooled analysis of variance (ANOVA) and trait stability by GGE biplot. The significant mean sum of square due to genotypes, environments and genotype x environment interactions for all the traits demonstrated the possibility to develop environment specific and ideal mean performing cultivars through selection. It was found that different genotypes behaved differently under different sowing dates. As per the mean vs. stability view of GGE biplot, genotype PC-171 (V12) performed better in the months of August and September of both the years (E1, E2, E5 and E6). Whereas, PC-160 (V3) followed by Cartvar-2 (V18) performed better in the month of October (E3 and E7) for the total root yield parameter. Genotype PC-161 (203.44 q acre-1) followed by PC-171 (205.32 q acre-1) and PC-160 (208.20 q acre-1) were most ideal genotypes across all the environments for root yield of carrot. Biochemical analysis showed that among the 28 genotypes, BMMD (5.46 %) and CC-P-Desi (1.69 %) were most ideal genotypes for total and non-reducing sugars content, respectively. Similarly, genotype CC-J3 was observed as stable and mean performing genotype for total soluble solids (7.00) and carotene content (6.99 mg 100g-1). Total soluble solids, total sugars and reducing sugars all rose simultaneously from the months of August to September and later began to fall from October to November. Starch and dry matter content was highest in the August month of sowing (E1 and E5). Magnitude of phenotypic coefficient of variation (PCV) was higher than corresponding genotypic coefficient of variation (GCV) for all the characters. Heritability was reported more than 80% for most of the traits. Estimation of genotypic and phenotypic correlation showed that root weight, root length and root diameter had significant and positive correlation with root yield. Root weight had maximum direct effect on marketable yield. Hence, GGE biplot can efficiently be used for categorization and environment specific selection of varieties based on their mean performance and stability in the given growing environment for morphological and qualitative traits
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Farwan, Kunal (2022). Studies on growth, yield and quality parameters of carrot (Daucus carota L.) under different sowing dates (Unpublished M.Sc. thesis). Punjab Agricultural University, Ludhiana, Punjab, India.