Modelling seedling emergence in Paspalum species using environmental data from field experiments
In warm-temperate regions, the adoption of warm-season forage grasses has been hindered by low and unpredictable seedling emergence because of seed dormancy. Developing models driven by temperature (T) and soil water potential (Ψ) may provide tools for choosing adequate sowing conditions. Models a...
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245 | 1 | |a Modelling seedling emergence in Paspalum species using environmental data from field experiments | |
520 | |a In warm-temperate regions, the adoption of warm-season forage grasses has been hindered by low and unpredictable seedling emergence because of seed dormancy. Developing models driven by temperature (T) and soil water potential (Ψ) may provide tools for choosing adequate sowing conditions. Models are usually developed with controlled chamber germination data, but they can be built using field emergence and weather station data. Seedling emergence data of four Paspalum populations (two dallisgrass subspecies, bahiagrass and vaseygrass) were gathered from five experiments in three Campos locations (Buenos Aires, Montevideo and Salto) during two years, with fall and spring sowing dates and irrigated and non - irrigated plots. Thermal and hydrothermal time models were used for emergence timing. The predictions were better for irrigated plots and fall sowings. For maximum emergence proportion (MEP), a mixed linear model was adjusted. Within a non - irrigated treatment, the higher MEP was for early - spring sowings, but the lowest for late-spring ones. Additionally, a thermal time index (TTI) was modified to model MEP. A coefficient which weighs degree-days accumulation according to the hydrothermal range (HTR) of each day was set. The HTRs were defined by T and Ψ thresholds. Thresholds and coefficient values were optimized by genotype until linear regressions between MEP and modified TTI achieved higher fit. Days with high temperature (greater-than sing 18°C or 20°C according to genotype) accumulated half or none of degree-days when high- or mid-soil water content was available, respectively. Differences among Paspalum genotypes, sowing date recommendations and modified TTI usefulness were discussed. | ||
650 | |2 Agrovoc |9 26 | ||
653 | |a DEGREE - DAYS | ||
653 | |a PERENNIAL FORAGE GRASS | ||
653 | |a SEED DORMANCY | ||
653 | |a SOIL WATER POTENTIAL | ||
653 | |a WARM SEASON GRASS | ||
700 | 1 | |a Glison, Nicolás |u Universidad de la República. Facultad de Agronomía. Departamento de Biología Vegetal. Montevideo, Uruguay. |9 46487 | |
700 | 1 | |9 11303 |a Batlla, Diego |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. | |
700 | 1 | |a González Barrios, Pablo |u Universidad de la República. Facultad de Agronomía. Departamento de Biometría, Estadística y Computación. Montevideo, Uruguay. |9 73562 | |
700 | 1 | |a Viega, Luis |u Universidad de la República. Facultad de Agronomía. Departamento de Biología Vegetal. Montevideo, Uruguay. |9 46481 | |
700 | 1 | |a Saldanha, Sylvia |u Universidad de la República. Facultad de Agronomía. Estación Experimental de Facultad de Agronomía de Salto. Salto, Uruguay. |9 73563 | |
700 | 1 | |a Musacchio, Eduardo Mario |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Biología Aplicada y Alimentos. Cátedra de Genética. Buenos Aires, Argentina. |9 38444 | |
700 | 1 | |a Rush, Pablo Norberto |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Biología Aplicada y Alimentos. Cátedra de Genética. Buenos Aires, Argentina. |9 11255 | |
700 | 1 | |a Speranza, Pablo Rafael |u Universidad de la República. Facultad de Agronomía. Departamento de Biología Vegetal. Montevideo, Uruguay. |9 66908 | |
773 | 0 | |t Grass and forage science |w (AR-BaUFA)SECS000094 |g Vol.76, no.3 (2021), p.363-377, tbls., grafs. | |
856 | |f 2021glison |i en reservorio |q application/pdf |u http://ri.agro.uba.ar/files/intranet/articulo/2021glison.pdf |x ARTI202204 | ||
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