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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
05/02/2020 |
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Actualizado : |
05/02/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
SAWCHIK, J.; MALLARINO, A.P. |
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Afiliación : |
JORGE SAWCHIK PINTOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANTONIO P. MALLARINO, Dep. of Agron, Iowa State Univ., Ames, IA, United States. |
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Título : |
Variability of soil properties, early phosphorus and potassium uptake, and incidence of pests and weeds in relation to soybean grain yield. |
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Fecha de publicación : |
2008 |
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Fuente / Imprenta : |
Agronomy Journal, September 2008, Volume 100, Issue 5, Pages 1450-1462. Doi: https://doi.org/10.2134/agronj2007.0303 |
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ISSN : |
0002-1962 |
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DOI : |
10.2134/agronj2007.0303 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 8 September 2007 / Published September 2008.
Corresponding author: Antonio P. Mallarino - apmallar@iastate.edu |
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Contenido : |
ABSTRACT.
Successful crop management requires understanding relationships between site characteristics and crop yield. We studied intercorrelations among soil and crop properties using factor analysis (FA) and principal components analysis (PCA), and their relationships with soybean [Glycine max (L.) Merr.] within-field yield variability. Site variables (22) measured on 0.2-ha cells of 12- to 20-ha areas of five Iowa fields were: elevation; soil texture; extractable nutrients; incidence of soybean cyst nematode (Heterodera glycines) (SCN), diseases, and weeds; soybean dry weight (DW), height, and P and K uptake at V5; plant height at R5; and grain yield. Agronomic interpretations of interrelationships among site variables were more straightforward for FA than for PCA. The factors conditions for early growth and nutrient uptake and intrinsic soil properties were present in all fields, plant P and K availability was present in three fields, and the factor soybean pests, weeds or plant growth was present in the other fields. Factor analysis and PCA accounted for 62 to 64% of the yield variability in the field with the largest yield CV (30%) and 5 to 35% in the other fields (CV 2.8 to 5.9%). Two factors related significantly to yield in two fields (plant P and K availability and intrinsic soil properties) while others were specific to one field. Factor analysis identified groups of interrelated site variables, showed how they accounted for yield variability, and showed that single measurements seldom account for most yield variation in a field. Copyright © 2008 by the American Society of Agronomy. MenosABSTRACT.
Successful crop management requires understanding relationships between site characteristics and crop yield. We studied intercorrelations among soil and crop properties using factor analysis (FA) and principal components analysis (PCA), and their relationships with soybean [Glycine max (L.) Merr.] within-field yield variability. Site variables (22) measured on 0.2-ha cells of 12- to 20-ha areas of five Iowa fields were: elevation; soil texture; extractable nutrients; incidence of soybean cyst nematode (Heterodera glycines) (SCN), diseases, and weeds; soybean dry weight (DW), height, and P and K uptake at V5; plant height at R5; and grain yield. Agronomic interpretations of interrelationships among site variables were more straightforward for FA than for PCA. The factors conditions for early growth and nutrient uptake and intrinsic soil properties were present in all fields, plant P and K availability was present in three fields, and the factor soybean pests, weeds or plant growth was present in the other fields. Factor analysis and PCA accounted for 62 to 64% of the yield variability in the field with the largest yield CV (30%) and 5 to 35% in the other fields (CV 2.8 to 5.9%). Two factors related significantly to yield in two fields (plant P and K availability and intrinsic soil properties) while others were specific to one field. Factor analysis identified groups of interrelated site variables, showed how they accounted for yield variability, and showed that sing... Presentar Todo |
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Palabras claves : |
Crop Management; Crops; Nutrients; Phosphorus. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 02484naa a2200217 a 4500
001 1060772
005 2020-02-05
008 2008 bl uuuu u00u1 u #d
022 $a0002-1962
024 7 $a10.2134/agronj2007.0303$2DOI
100 1 $aSAWCHIK, J.
245 $aVariability of soil properties, early phosphorus and potassium uptake, and incidence of pests and weeds in relation to soybean grain yield.$h[electronic resource]
260 $c2008
500 $aArticle history: Received 8 September 2007 / Published September 2008. Corresponding author: Antonio P. Mallarino - apmallar@iastate.edu
520 $aABSTRACT. Successful crop management requires understanding relationships between site characteristics and crop yield. We studied intercorrelations among soil and crop properties using factor analysis (FA) and principal components analysis (PCA), and their relationships with soybean [Glycine max (L.) Merr.] within-field yield variability. Site variables (22) measured on 0.2-ha cells of 12- to 20-ha areas of five Iowa fields were: elevation; soil texture; extractable nutrients; incidence of soybean cyst nematode (Heterodera glycines) (SCN), diseases, and weeds; soybean dry weight (DW), height, and P and K uptake at V5; plant height at R5; and grain yield. Agronomic interpretations of interrelationships among site variables were more straightforward for FA than for PCA. The factors conditions for early growth and nutrient uptake and intrinsic soil properties were present in all fields, plant P and K availability was present in three fields, and the factor soybean pests, weeds or plant growth was present in the other fields. Factor analysis and PCA accounted for 62 to 64% of the yield variability in the field with the largest yield CV (30%) and 5 to 35% in the other fields (CV 2.8 to 5.9%). Two factors related significantly to yield in two fields (plant P and K availability and intrinsic soil properties) while others were specific to one field. Factor analysis identified groups of interrelated site variables, showed how they accounted for yield variability, and showed that single measurements seldom account for most yield variation in a field. Copyright © 2008 by the American Society of Agronomy.
653 $aCrop Management
653 $aCrops
653 $aNutrients
653 $aPhosphorus
700 1 $aMALLARINO, A.P.
773 $tAgronomy Journal, September 2008, Volume 100, Issue 5, Pages 1450-1462. Doi: https://doi.org/10.2134/agronj2007.0303
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