2006
DOI: 10.1016/j.agrformet.2006.03.014
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Climate changes and trends in phenology and yields of field crops in China, 1981–2000

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Cited by 517 publications
(357 citation statements)
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“…For each 1 °C increase in T avg during RGS and RGS 1 , yield changed by -6.82% to 5.74% and 1.77% to 10.12%, respectively. This result was consistent with the finding in some other researches [7,17,18], which suggesting that temperature was above the optimal temperature of rice production and increasing temperature might reduce yield. However, T avg during RGS 2 and RGS 3 were significantly positively related to rice yield in some regions, which was consistent with other studies [12,19].…”
Section: Discussionsupporting
confidence: 83%
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“…For each 1 °C increase in T avg during RGS and RGS 1 , yield changed by -6.82% to 5.74% and 1.77% to 10.12%, respectively. This result was consistent with the finding in some other researches [7,17,18], which suggesting that temperature was above the optimal temperature of rice production and increasing temperature might reduce yield. However, T avg during RGS 2 and RGS 3 were significantly positively related to rice yield in some regions, which was consistent with other studies [12,19].…”
Section: Discussionsupporting
confidence: 83%
“…In this study, results indicated that an increase in DTR during RGS 1 caused a significant negative effect on rice yields in most study areas. The reason might be that increase in the maximum temperature results in reductions in photosynthetic rates or increasing water stress [7,22,23]. However, an increase in DTR during RGS 2 and RGS 3 caused a significant positive effect on rice yields at most areas, which because cooling nights reduces the respiration rate and warming days increases photosynthetic rate [24].…”
Section: Discussionmentioning
confidence: 99%
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“…Duração dos ciclos de temperatura mínima de relva (°C), significativos pelo teste qui-quadrado, estimados pela análise de densidade espectral de potências para a defasagem (lag) de 10 anos após o filtro passa-banda de 20 anos na série histórica de temperatura mínima de relva de Santa Maria (RS), para os doze meses do ano e para cada estação do período de 1970-2009 Média = Média mensal de temperatura mínima de relva; Mínimo= Menor valor absoluto de temperatura mínima de relva; Máximo= Maior valor absoluto de temperatura mínima de relva. 1970 1975 1980 1985 1990 1995 2000 2005 2010 Temperatura ( 1970 1975 1980 1985 1990 1995 2000 2005 2010 Temperatura ( 1970 1975 1980 1985 1990 1995 2000 2005 2010 Temperatura ( 1970 1975 1980 1985 1990 1995 2000 2005 2010 Anos (Peng et al, 2004), China (Tao et al, 2006) e Brasil em Campinas, SP (Blain et al, 2009) e na região do Planalto Meridionalriograndense (Kuinchtner et al, 2007). Com relação ao início da tendência nas séries históri-cas, no fim da década de 1970 iniciou-se uma tendência crescente no aumento da mínima absoluta da Tmr em dezembro segundo o teste de Mann -Kendall; pelo teste de Pettitt não foi identificada uma mudança brusca significativa na série (Tabela 5).…”
Section: Resultsunclassified