Open AccessThe correlation of variable affecting yield on anthocyanins corn
Author(s) -
La Sumange,
Syamsul Rahman,
HG. M Yasin,
Kahar Mustari
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/911/1/012050
Subject(s) - anthocyanin , yield (engineering) , sowing , mathematics , fertilizer , horticulture , regression analysis , agronomy , biology , zoology , statistics , materials science , metallurgy
Variable importance under vegetative and generative stage for effecting of grain yield opv anthocyanins corn. Simple correlation and regression analysis has been conducted between grain yield as dependent variable (yi) with all independent variable (xi, i: 1,2,3,…,6) as vegetative and generative stage. Stepwise of multiple regression was be used for define of variable was more important to affecting of yield.The experiment were conducted in Maros and Bajeng experimental farm on rainy 2017, data has been collected as sample from 30 plants per se. Two blocks of experiment 17x25m were planting of with spacing 75x20 cm one plant per hole, length of plot 15 m. Fertilizer be applied with Urea-Ponska (300-200) kg/ha. Anthocyanin’s corn held to increase of human health. The origin of anthocyanins corn is from Mesoamerica it is a pigment that give color of purple to black may affect to anticipated of viral (virus), cholesterol, heart disease, obesity, and cancerThe result multiple regression shown that variable which is be increase of yield and significant different founded in Maros were plant height (x1), water content of seeds (x2), and ear height. (x5). Model: y:3.404+0.027x1+0.018x2-0.073x5, R 2 :0.645. In Bajeng shown that water content of seeds (x5), number of seeds per cob (x7), and 1000 seeds (x8), Model was yi=4.096-1.776x5+0.087x7+0.023x8; R 2 :0.92. In The two-location yield, be decrease if water content of seed was increase.