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	Provedor de dados Scientia Agricola (2) Autor Banterng,Poramate (2) Hoogenboom,Gerrit (1) Jogloy,Sanun (1) Pannangpetch,Krirk (1) Patanothai,Aran (1) Phoncharoen,Phanupong (1) Theerakulpisut,Piyada (1) Vilayvong,Saythong (1) Vorasoot,Nimitr (1) Mais... Palavra-chave Climatic factors (1) Crop simulation (1) Environment (1) Growing date (1) Growth analysis (1) N-fertilizer application (1) Planting practice (1) Transplanting date (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2019 (1) 2015 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Growth rates and yields of cassava at different planting dates in a tropical savanna climate Scientia Agricola Phoncharoen,Phanupong; Banterng,Poramate; Vorasoot,Nimitr; Jogloy,Sanun; Theerakulpisut,Piyada; Hoogenboom,Gerrit. ABSTRACT: Details on growth and yield for cassava planted on different dates are useful for determining suitable genotypes for particular growing seasons. Our aim was to study growth and yield of cassava planted on different dates. Four cassava genotypes (Kasetsart 50, Rayong 9, Rayong 11 and CMR38-125-77) were evaluated using a randomized complete block design (RCBD) with four replications in six growing periods (20 Apr, 25 May, 30 June, 5 Oct, 10 Nov and 15 Dec 2015-2016) at Khon Kaen, Thailand. Soil properties were determined prior to planting, and crop traits and weather data were recorded. The six planting dates had a statistically significant effect on all crop traits. Low temperatures and solar radiation related to low biomass accumulation rates and... Tipo: Info:eu-repo/semantics/article Palavras-chave: Climatic factors; Environment; Growth analysis; Growing date. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019001500376 CSM-CERES-Rice model to determine management strategies for lowland rice production Scientia Agricola Vilayvong,Saythong; Banterng,Poramate; Patanothai,Aran; Pannangpetch,Krirk. The cropping system model, namely, the crop environment resource synthesis-rice (CSM-CERES-Rice) model, is a decision supporting tool for the design of crop management. This study aimed to determine management practices for increasing rice (Oryza sativa L.) production in Laos by using the CSM-CERES-Rice model. The model was evaluated with data sets from the TDK8 and TDK11 cultivars in farmers’ fields in the Vientiane plain in 2012. Anthesis and harvesting dates, growth and yield for various management scenario combinations (eight transplanting dates × two levels of plant densities × three rates of nitrogen (N) fertilizer application) for both cultivars were simulated by the model from 1980 to 2012. The model evaluation results showed strong agreement... Tipo: Info:eu-repo/semantics/article Palavras-chave: Crop simulation; N-fertilizer application; Planting practice; Transplanting date. Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000300229 Registros recuperados: 2 Primeira ... 1 ... Última

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