2018
DOI: 10.1080/1343943x.2018.1459752
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The spatial patterns in long-term temporal trends of three major crops’ yields in Japan

Abstract: Long-term trend of crop yields has been widely studied in global scales to find which crops and which geographic regions offer the best hope of meeting food demands, and which regions needed the most improvements. In this study, a mathematical method was applied to analyze spatial patterns in long-term temporal trends of three major crops' yields in Japan archipelago. The changes in annual yields of rice, wheat, and soybean over a period of about 60 years in all 47 prefectures of Japan was analyzed by using th… Show more

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Cited by 15 publications
(12 citation statements)
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“…The major targets of the rice breeding programs were high yield and resistance to pests, diseases and cold injury. Continuing efforts in breeding, along with intensification of culture, resulted in rapid increases in yield (Chen, 2018;Horie et al, 2005) until the 1970s, when Japan achieved rice self-sufficiency. Since then, the main breeding objectives have shifted to high-eating quality (Horie et al, 2005).…”
Section: Introductionmentioning
confidence: 99%
“…The major targets of the rice breeding programs were high yield and resistance to pests, diseases and cold injury. Continuing efforts in breeding, along with intensification of culture, resulted in rapid increases in yield (Chen, 2018;Horie et al, 2005) until the 1970s, when Japan achieved rice self-sufficiency. Since then, the main breeding objectives have shifted to high-eating quality (Horie et al, 2005).…”
Section: Introductionmentioning
confidence: 99%
“…Data for the estimated lower temperature and trophic level for each species were obtained from FishBase [39] (S2 Table). The collected fish species and their lower temperatures and trophic levels are listed in S2 Table. Trends of species richness and diversity, average thermal affinity, and average trophic level against time were analyzed using linear or quadratic mixed effects regression models including station as the random factor, and the best model was selected based on the Akaike information criterion [40,41]. We defined the recovery time (the time needed for the community to reach a steady state at a sampling area) as the extremum (maximum or minimum number) of the quadratic model.…”
Section: Plos Onementioning
confidence: 99%
“…The percentage of number of yield-not-improving prefecture was higher in low latitude regions than high latitude regions for the three crops (rice, wheat, and soybean) in Japan (Chen, 2018). The southern and southeastern areas of Rwanda registered a trend decline in food crop yields perhaps due to an increase in aridity (Muhire et al, 2014).…”
Section: Introductionmentioning
confidence: 99%