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dc.contributor.advisorProf. Bhabendra Kumar Biswas
dc.contributor.authorAKHTAR, KULSUM
dc.date.accessioned2022-04-21T08:34:59Z
dc.date.available2022-04-21T08:34:59Z
dc.date.issued2010-08
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/418
dc.descriptionMaize (Zea mays L.) belongs to the family Gramineae is one of the most important photo-insensitive, cross pollinated cereal crops and ranks 3“ in acreage and production in Bangladesh. As food, it can be consumed directly as green cob, roasted cob or popped grain. Its grain can be used for human consumption in various ways such as corn meal, fried grain and flour. Its grain has high nutritive value containing 66.2% starch 11.1% protein, 7.12% oil and 1.5% minerals. Moreover, 100 g maize grains contain 90 mg carotene, 1.8 mg niacin 0.8 mg thiamin and 0.1 mg riboflavin (Chowdhury and Islam, 1993). Maize oil is used as the best quality edible oil. Green parts of the plant and grain are used as the feed of livestock and poultry. Stover and dry leaves are used as good fuel (Ahmed, 1994). The important industrial use of maize includes in the manufacture of starch and other products such as glucose, high fructose sugar, maize oil, alcohols, baby foods and breakfast cereals (Kaul, 1985). This crop has much higher grain protein content than our staple food rice.en_US
dc.description.abstractThe field experiment was conducted during the period from October 2009 to March 2010 in the experimental field of the Department of Genetics and Plant Breeding, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh, to study the joint regression analysis of maize for yield and yield contributing characters. The experiment considered as two factors such as: Factor A- Irrigation level such as, I,: 01 irrigation at knee stage, I,: 02 irrigations at knee and preflowering stage and I;: 03 irrigations at knee, pre-flowering and milking stage; Factor B- 10 maize genotypes such as G, (Kanak), G) (Diamond), G3; (HP-100), G4 (Lakkhi), G; (BARI-1), Gs (Durga), G7 (NT-6323), Gg (Seed tee-740), Go (NK-40) and Gyo (Kongvoi). The experiment was laid out in two factors Randomized Complete Block Design (RCBD) with three replications. Mean performance, variability, correlation matrix and joint regression analysis were done on 12 yield contributing and yield characters. Grain yield per plant in terms of phenotypic variation (395.55) was higher than the genotypic variance (219.07) which was supported by narrow difference between phenotypic (9.10%) and genotypic (6.77%) co-efficient of variation. High heritability (55.38%) for grain yield per plant attached with high genetic advance (29.08%) and low genetic advance in percentage of mean (13.31). Plant height (0.319), days to flowering of male (0.290), days to flowering of female (0.399), cob length (0.453), cob diameter (0.501), number of grains per cob (0.246), weight of 1000 seeds (0.376) and ear length (0.429) showed positive significant association with grain yield per plant in maize genotypes. Three irrigations was better for higher grain yield and plant growth of maize. Crop produce with three irrigations gave the proper plant height, tassel height, cob to tassel height, days to flowering of male, days to flowering of female, days to maturity, cob length, cob diameter, number of grains per cob, weight of 1000 seeds, ear length and grain yield per plant. The genotype G, (Lakkhi) produced the highest grain yield (233g/plant) followed by the genotype Gg (Durga) and both the hybrids had nonsignificant regression coefficient and negative deviation from regression, hence response to irrigation was predictable but stability was not ascertained for these two high yielding hybrids over the three levels of irrigation.en_US
dc.language.isoenen_US
dc.publisherHAJEE MOHAMMOD DANESH SCIENCE AND TECHNOLOGY UNIVERSITY, DINAJPURen_US
dc.subjectHarvesting, Threshing and Cleaningen_US
dc.subjectEstimation of correlationen_US
dc.subjectEstimation of variabilityen_US
dc.subjectStatistical analysisen_US
dc.titleJOINT REGRESSION ANALYSIS OF MAIZE FOR YIELD AND YIELD CONTRIBUTING CHARACTERSen_US
dc.typeThesisen_US


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