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Phenotypic plasticity in a soybean cultivar with indeterminate growth type PAB
Balbinot Junior,Alvadi Antonio; Oliveira,Maria Cristina Neves de; Franchini,Julio Cezar; Debiasi,Henrique; Zucareli,Claudemir; Ferreira,André Sampaio; Werner,Flavia.
Abstract: The objective of this work was to evaluate how branch and stem variables contribute to grain yield in individual soybean (Glycine max) plants, cultivated at different planting densities, in a modern cultivar with indeterminate growth type. A field experiment was carried out during the 2013/2014 and 2014/2015 crop seasons, in a randomized complete block design with 12 replicates, using the cultivar NK7059 RR at four planting densities: 135, 235, 315, and 440 thousand plants per hectare. Grain yield per plant was evaluated and represented phenotypic plasticity, while the number of branches per plant, percentage of grain production in branches, and separate yield components from branches and stems were considered as the independent variables. The...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Glycine max; Plant density; Principal component analysis; Stepwise regression; Yield components.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000901038
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Relationships among agronomic traits and seed yield in pea JBAG
Espósito,María Andrea; Martin,Eugenia Alejandra; Cravero,Vanina Pamela; Liberatti,David; López Anido,Fernando Sebastián; Cointry,Enrique Luis.
The evaluation of selection criteria using correlation coefficients, multiple regression and path analysis was carried out for a period of two years on forty pea genotypes. The correlation analysis revealed that grain yield had genotypic relationships with numbers of pods, seeds per plot, length of the internodes and plant height in 2007 and also with grain diameter, length and width of leaflets and number of nodes at the first pod in 2008. The highest positive direct effects in 2007 were length of the internodes (0.68), seeds per plot (0.38) and numbers of pods (0.26). Length leaflets exhibited a negative direct effect (-0.46). The highest positive indirect contribution of plant height mediated by length of the internodes was 0.50. The highest negative...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Pisum sativum L.; Yield components; Genetic correlation; Stepwise regression; Path coefficient.
Ano: 2009 URL: http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1852-62332009000100001
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Subsistence and Semi-subsistence Farming in Selected EU New Member States AgEcon
Davidova, Sophia; Fredriksson, Lena; Bailey, Alastair.
Factor and cluster analysis are used to analyse the attitudes and perceptions of agricultural households in five EU New Member States towards farming, commercialisation, and barriers to and drivers for an increased integration in agricultural markets. The contribution of unsold output to the total household income is valued. A stepwise linear regression is employed to detect important variables explaining the degree of agricultural market integration of farm households. The analysis indicates that subsistence farming is of utmost importance for the rural poor, and particularly in Bulgaria and Romania. The proportion of consumption from own production, manual cultivation techniques and distance to an urban centre negatively affect output sales. Rural...
Tipo: Conference Paper or Presentation Palavras-chave: Agricultural households; Subsistence; Commercialisation; Incomes; Cluster analysis; Stepwise regression; Community/Rural/Urban Development; Consumer/Household Economics; Crop Production/Industries; Q12.
Ano: 2009 URL: http://purl.umn.edu/52801
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Variáveis e modelos para estimativa da produtividade do cafeeiro a partir de índices de vegetação derivados de imagens Landsat. Repositório Alice
BERNARDES, T.; MOREIRA, M. A.; VERONA, J. D.; SHIMABUKURO, Y. E.; LUIZ, A. J. B..
Abstract. Coffee fields present a specific pattern of productivity resulting in high and low production in alternated years. Branches grown the first phenological year will produce coffee beans the second phenological year. In high-production years a plant works mostly to grain-filling to the detriment of new branches which will be responsible for production the following year. In low-production years the plant works rather to grow new branches which will produce beans the subsequent year. This feature can be related to the foliar biomass, which can be estimated through remote sensing derived vegetation indices. Several studies report this feature must be incorporated in modeling coffee yield coupled with agrometeorogical models. In this paper we derived...
Tipo: Artigo em anais de congresso (ALICE) Palavras-chave: Coffee yield; Biophysics variables; Vegetation indices; Radiometric correction; Stepwise regression; Café; Produtividade; Sensoriamento remoto; Coffee; Grain yield; Agricultural management models; Statistical models.
Ano: 2013 URL: http://www.alice.cnptia.embrapa.br/handle/doc/963264
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