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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
05/02/2020 |
Actualizado : |
05/02/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
SAWCHIK, J.; MALLARINO, A.P. |
Afiliación : |
JORGE SAWCHIK PINTOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANTONIO P. MALLARINO, Dep. of Agron, Iowa State Univ., Ames, IA, United States. |
Título : |
Variability of soil properties, early phosphorus and potassium uptake, and incidence of pests and weeds in relation to soybean grain yield. |
Fecha de publicación : |
2008 |
Fuente / Imprenta : |
Agronomy Journal, September 2008, Volume 100, Issue 5, Pages 1450-1462. Doi: https://doi.org/10.2134/agronj2007.0303 |
ISSN : |
0002-1962 |
DOI : |
10.2134/agronj2007.0303 |
Idioma : |
Inglés |
Notas : |
Article history: Received 8 September 2007 / Published September 2008.
Corresponding author: Antonio P. Mallarino - apmallar@iastate.edu |
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 |
Palabras claves : |
Crop Management; Crops; Nutrients; Phosphorus. |
Asunto categoría : |
F01 Cultivo |
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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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Tacuarembó. |
Fecha actual : |
21/02/2014 |
Actualizado : |
03/02/2018 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
CATTÁNEO, M.; METHOL, R. |
Afiliación : |
MARIANA CATTÁNEO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RICARDO METHOL, UPM-FOSA (FORESTAL ORIENTAL S.A.). |
Título : |
Desarrollo de una raza local de Pinus taeda |
Fecha de publicación : |
2006 |
Fuente / Imprenta : |
ln: Bemhaja, M.; Pittaluga, O., eds. 30 años de investigación en suelos de areniscas, INIA Tacuarembó. Montevideo (Uruguay): INIA, 2006. |
Páginas : |
p. 349-358 |
Serie : |
(INIA Serie Técnica ; 159) |
ISSN : |
1688-9266 |
Idioma : |
Español |
Notas : |
Resumen de la Serie Técnica N°146 "Desarrollo de un araza local de Pinus taeda: Avances en investigación". |
Contenido : |
Introducción. Selección de árboles plus. Instalación de las pruebas de progenie. Propagación vegetativa de los árboles plus. Instalación del huerto semillero clonal. Conclusiones. |
Thesagro : |
FORESTACION; PINUS TAEDA; SUELO ARENOSO; URUGUAY. |
Asunto categoría : |
-- K10 Producción forestal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/7780/1/ST-159-349-358.pdf
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Marc : |
LEADER 00952naa a2200229 a 4500 001 1007969 005 2018-02-03 008 2006 bl uuuu u00u1 u #d 022 $a1688-9266 100 1 $aCATTÁNEO, M. 245 $aDesarrollo de una raza local de Pinus taeda 260 $c2006 300 $ap. 349-358 490 $a(INIA Serie Técnica ; 159) 500 $aResumen de la Serie Técnica N°146 "Desarrollo de un araza local de Pinus taeda: Avances en investigación". 520 $aIntroducción. Selección de árboles plus. Instalación de las pruebas de progenie. Propagación vegetativa de los árboles plus. Instalación del huerto semillero clonal. Conclusiones. 650 $aFORESTACION 650 $aPINUS TAEDA 650 $aSUELO ARENOSO 650 $aURUGUAY 700 1 $aMETHOL, R. 773 $tln: Bemhaja, M.; Pittaluga, O., eds. 30 años de investigación en suelos de areniscas, INIA Tacuarembó. Montevideo (Uruguay): INIA, 2006.
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