Evaluation of plant characteristics related to grain yield of FAO410 and FAO340 hybrids using regression models
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ORIGINAL PAPER
Evaluation of plant characteristics related to grain yield of FAO410 and FAO340 hybrids using regression models Seyed Mohammad Nasir Mousavi1 · János Nagy1 Received: 7 April 2020 / Accepted: 2 September 2020 © The Author(s) 2020
Abstract In breeding programs, estimation of increase in yield based on changes in effective plant traits is of great importance, which can be identified using regression modeling. The regression model refers to the prediction of the value of a dependent variable from the values of one or more independent variables. This study evaluated morphological traits of maize (FAO410) on six treatments of fertilizer in 2 years in Debrecen University by the regression model. This experiment was RCBD with four replications in the Látókép zone. Treatments were included in different levels of fertilizer: nitrogen, phosphor, and potassium. The regression model was significant at one percent that showed morphological traits have a straight effect on the yield of maize in FAO410 and FAO340. Grain yield had a positive correlation with plant height, outer ear diameter, the weight of ear, weight of cob, number of leaves, weight of all seeds in each ear, the weight of one thousand seeds on FAO410, and grain yield had a positive correlation with plant height, stem diameter, outer ear diameter, the weight of ear, weight of cob, number of seeds in each column, weight of all seeds in each ear, weight of the fresh plant in a hectare, the weight of one thousand seeds on FAO340 too. Cluster analysis showed the traits classification on two groups on hybrids. Reach maximum grain yield require the evaluation of yield components and their effect. Keywords Regression model · Cluster analysis · Grain yield · Correlation
Introduction Cereals are the most important food crop on the planet, supply 70% of the people’s food, and provide 75% of the total energy and more than half of the protein needed by humans (Emam 2007). Corn is high on grain and dry matter yield, having a varied nutritional value in the supply of carbohydrates, and edible oils in the agricultural economy of different countries are of particular importance (Nagy 2006). Maize (Zea Mays L.) as a staple food and forage crop has grown under a wide range of climates worldwide (Wang et al. 2008) and throughout much of the New World (Mexico, Central America, and South America) is an important plant. It is also the third-largest crop after wheat and rice
* Seyed Mohammad Nasir Mousavi [email protected] 1
Regional Development and Technology, Institute for Land Utilisation, The University of Debrecen Centre for Agricultural and Food Sciences and Environmental Management, Debrecen, Hungary
in terms of area under cultivation and production (Kumar 2014). Conventional farming practices in today’s world have not led to an acceptable success in resource management because of over-reliance on artificial inputs and injections of auxiliary energy such as fertilizers and pesticides; it has created unstable crop ecosystems (Cociu and Alionte 2017; Robe
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