시기별 기상값 활용 피복재배 감자 상서수량 예측

• 영문명: Estimating the Yield of Marketable Potato of Mulch Culture using Climatic Elements
• 발행기관: 한국작물학회
• 저자명: 이안수(An-Soo Lee) 최성진(Seong-Jin Choi) 전신재(Shin-Jae Jeon) 맹진희(Jin-Hee Maeng) 김종환(Jong-Hwan Kim) 김인종(In-Jong Kim)
• 간행물 정보: 『한국작물학회지』제61권 제1호, 70~77쪽, 전체 8쪽
• 주제분류: 농수해양 > 기타농수해양
• 파일형태: PDF
• 발행일자: 2016.03.31

영문 초록

The object of this study was to evaluate the effects of climatic elements on potato yield and create a model for estimating the potato yield. We used 35 yield data of Sumi variety produced in mulching cultivation from 17 regions over 11 years. According to the results, some climatic elements showed significant level of correlation coefficient with marketable yield of potato. Totally 22 items of climatic elements appeared to be significant. Especially precipitation for 20 days after planting (Prec_1 & 2), relative humidity during 11~20 days after planting (RH_2), precipitation for 20 days before harvest (Prec_9 & 10), sunshine hours during 50~41 days before harvest (SH_6) and 20 days before harvest (SH_9 & 10), and days of rain during 10 days before harvest (DR_10) were highly significant in quadratic regression analysis. 22 items of predicted yield (Yi=aXi² +bXi+c) were induced from the 22 items of climatic elements (step 1). The correlations between the predicted yields and marketable yield were stepwised using SPSS, statistical program, and we selected a model (step 2), in which 4 items of independent variables (Yi) were used. Subsequently the Yi were replaced with the equation in step 1, aXi²+bXi+c. Finally we derived the model to predict the marketable yield of potato as below. Y = -336×DR_10²+ 854×DR_10 – 0.422×Prec_9²+ 43.3×Prec_9– 0.0414×RH_2²+ 46.2×RH_2 – 0.0102×Prec_2²– 7.00×Prec_2 – 10039

목차

재료 및 방법

결과 및 고찰

적요

키워드

Climatic elements Marketable yield Modeling correlation coefficient Mulching Potato Quadratic regression