Suitability Classes for Italian Ryegrass (Lolium multiflorum Lam.) Using Soil and Climate Digital Database in Gangwon Province

Abstract

As a part of establishing suitability classification for forage production, use of the national soil and climate database was attempted for Italian ryegrass (Lolium multiflorum Lam., IRG) in Gangwon Province. The soil data base were from Heugtoram of the National Academy of Agricultural Science, and the climate data base were from the National Center for Agro-Meteorology, respectively. Soil physical properties including soil texture, drainage, slope available depth and surface rock contents, and soil chemical properties including soil acidity and salinity, organic matter content were selected as soil factors. The crieria and weighting factors of these elements were scored. Climate factors including average daily minimum temperature, average temperature from March to May, the number of days of which average temperature was higher than 5 from September to December, the number of days of precipitation and its amount from October to May of the following year were selected, and criteria and weighting factors were scored. The electronic maps were developed with these scores using the national data base of soil and climate. Based on soil scores, the area of Goseong, Sogcho, Gangreung, and Samcheog in east coastal region with gentle slope were classified as the possible and/or the proper area for IRG cultivation in Gangwon Province. The lands with gentle or moderate slope of Cheolwon, Yanggu, Chuncheon, Hweongseong, Pyungchang and Jeongsun in west side slope of Taebaeg mountains were classified as the possible and/or proper area as well. Based on climate score, the east coastal area of Goseong, Sogcho, Yangyang, Gangreung and Samcheog could be classified as the possible or proper area. Most area located on west side of the Taebaeg mountains were classified as not suitable for IRG production. In scattered area in Chuncheon and Weonju, where the scores exceeded 60, the IRG cultivation should be carefully managed for good production. For better application of electronic maps.

Constructing Italian ryegrass yield prediction model based on climatic data by locations in South Korea

“…Kim et al (2012) developed a GISbased IRG suitability mapping system based on climatic and soil conditions and plant tolerance characteristics in Gangwon Province, South Korea, and reported that Yeongdong area in Gangwon Province was confirmed as the suitable cultivated region for IRG. Kim et al (2012) developed a GISbased IRG suitability mapping system based on climatic and soil conditions and plant tolerance characteristics in Gangwon Province, South Korea, and reported that Yeongdong area in Gangwon Province was confirmed as the suitable cultivated region for IRG.…”

“…Several previous studies about the effects of climatic factors on IRG yield and suitability have been actively implemented in South Korea. Kim et al (2012) developed a GISbased IRG suitability mapping system based on climatic and soil conditions and plant tolerance characteristics in Gangwon Province, South Korea, and reported that Yeongdong area in Gangwon Province was confirmed as the suitable cultivated region for IRG. Furthermore, Kim et al (2014) explored the climate effects on IRG yield via structural equation model and found that there was a weather effect on IRG yield.…”

Causality of climate and soil factors affecting whole crop rye (Secale cereale L.) yield as part of natural ecosystem structure via longitudinal structural equation model in the Republic of Korea

“…According to KSIS, the DC of the upland was distributed to well (2) or moderately well (3) while that of the paddy was distributed to somewhat poorly (4) or poorly (5). In this study, only soil physical properties were considered because soil chemical properties could not be supplied from soil information system due to changeable feature (Kim et al, 2013).…”

Evaluation of the suitability of potato cultivation areas in South Korea based on climate and soil conditions

“…Potential areas for apple cultivation have also been investigated [10,11]. Moreover, suitable areas for growing Italian ryegrass have been predicted in Gangwon-do [12] using a spatial distribution model [13]. Because climate change affects crops and their cultivation area [14], suitable growing areas have been identified for southern-type garlic [15], black raspberry [16], and teff and barley [17].…”