Jefte A. A. Conrado, Marcos N. Lopes, Roberto C. F. F. Pompeu, Magno J. D. Cândido
{"title":"预测十胜草形态生理变量的方法","authors":"Jefte A. A. Conrado, Marcos N. Lopes, Roberto C. F. F. Pompeu, Magno J. D. Cândido","doi":"10.1111/grs.12418","DOIUrl":null,"url":null,"abstract":"<p>The purpose of this study was to evaluate different methodologies used in the field in order to find the one that could most effectively relate to the morphophysiological condition of <i>Brachiaria decumbens</i> cv. Basilisk (syn. <i>Urochloa decumbens</i> cv. Basilisk Stapf R.D. Webster). Two light interception frequencies (LI, 85% and 95%) and two defoliation intensities were adopted as targets for the residual leaf area index (RLAI 1.3 and 1.8). The treatments consisted of evaluating different methods of measuring the canopy height (CH) through its ability to correlate with the morphophysiological variables of species <i>B. decumbens</i> cv. Basilisk. High correlations between the methods CH, compressed height (CHe), weighted height 1 (WH<sub>1</sub>) and weighted height 8 (WH<sub>8</sub>) were observed mainly with the variables total forage biomass (TFB) and leaf area index (LAI) in both residual and pre-grazing conditions. The path analysis showed degrees of multicollinearity, which determined the use of the “k” constants in order to correct the distortions of the diagonal elements of the correlation matrix X'X. Path analysis provided direct cause/effect indexes on TFB using LAI = 0.1435, photosynthesis (A) = −0.1061, CH = 0.1616, CHe = 0.0913, WH<sub>1</sub> = 0.1386 and WH<sub>8</sub> = 0.0575; on LAI using CH = 0.2404, CHe = 0.2164, WH<sub>1</sub> = 0.2307 and WH<sub>8</sub> = 0.2183; and on photosynthesis rate (A) using LAI = 0.2895, CH = 0.0203, CHe = −0.1170, WH<sub>1</sub> = 0.0352 and WH<sub>8</sub> = 0.0937. Similarity was observed between intercepts and slope coefficients for TFB prediction using CH, CHe, WH<sub>1</sub> and WH<sub>8</sub>, providing mean values of 1069.57 and 204.06, respectively. Methods CH and WH<sub>1</sub> presented a significant correlation with most morphophysiological variables and can be used to quantify TFB and LAI, while CH and WH<sub>8</sub> can be used only for TFB.</p>","PeriodicalId":56078,"journal":{"name":"Grassland Science","volume":"70 2","pages":"51-66"},"PeriodicalIF":1.1000,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Methods for prediction of morphophysiological variables of Brachiaria decumbens grass\",\"authors\":\"Jefte A. A. Conrado, Marcos N. Lopes, Roberto C. F. F. Pompeu, Magno J. D. 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High correlations between the methods CH, compressed height (CHe), weighted height 1 (WH<sub>1</sub>) and weighted height 8 (WH<sub>8</sub>) were observed mainly with the variables total forage biomass (TFB) and leaf area index (LAI) in both residual and pre-grazing conditions. The path analysis showed degrees of multicollinearity, which determined the use of the “k” constants in order to correct the distortions of the diagonal elements of the correlation matrix X'X. Path analysis provided direct cause/effect indexes on TFB using LAI = 0.1435, photosynthesis (A) = −0.1061, CH = 0.1616, CHe = 0.0913, WH<sub>1</sub> = 0.1386 and WH<sub>8</sub> = 0.0575; on LAI using CH = 0.2404, CHe = 0.2164, WH<sub>1</sub> = 0.2307 and WH<sub>8</sub> = 0.2183; and on photosynthesis rate (A) using LAI = 0.2895, CH = 0.0203, CHe = −0.1170, WH<sub>1</sub> = 0.0352 and WH<sub>8</sub> = 0.0937. 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Methods for prediction of morphophysiological variables of Brachiaria decumbens grass
The purpose of this study was to evaluate different methodologies used in the field in order to find the one that could most effectively relate to the morphophysiological condition of Brachiaria decumbens cv. Basilisk (syn. Urochloa decumbens cv. Basilisk Stapf R.D. Webster). Two light interception frequencies (LI, 85% and 95%) and two defoliation intensities were adopted as targets for the residual leaf area index (RLAI 1.3 and 1.8). The treatments consisted of evaluating different methods of measuring the canopy height (CH) through its ability to correlate with the morphophysiological variables of species B. decumbens cv. Basilisk. High correlations between the methods CH, compressed height (CHe), weighted height 1 (WH1) and weighted height 8 (WH8) were observed mainly with the variables total forage biomass (TFB) and leaf area index (LAI) in both residual and pre-grazing conditions. The path analysis showed degrees of multicollinearity, which determined the use of the “k” constants in order to correct the distortions of the diagonal elements of the correlation matrix X'X. Path analysis provided direct cause/effect indexes on TFB using LAI = 0.1435, photosynthesis (A) = −0.1061, CH = 0.1616, CHe = 0.0913, WH1 = 0.1386 and WH8 = 0.0575; on LAI using CH = 0.2404, CHe = 0.2164, WH1 = 0.2307 and WH8 = 0.2183; and on photosynthesis rate (A) using LAI = 0.2895, CH = 0.0203, CHe = −0.1170, WH1 = 0.0352 and WH8 = 0.0937. Similarity was observed between intercepts and slope coefficients for TFB prediction using CH, CHe, WH1 and WH8, providing mean values of 1069.57 and 204.06, respectively. Methods CH and WH1 presented a significant correlation with most morphophysiological variables and can be used to quantify TFB and LAI, while CH and WH8 can be used only for TFB.
Grassland ScienceAgricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
2.70
自引率
7.70%
发文量
38
审稿时长
>12 weeks
期刊介绍:
Grassland Science is the official English language journal of the Japanese Society of Grassland Science. It publishes original research papers, review articles and short reports in all aspects of grassland science, with an aim of presenting and sharing knowledge, ideas and philosophies on better management and use of grasslands, forage crops and turf plants for both agricultural and non-agricultural purposes across the world. Contributions from anyone, non-members as well as members, are welcome in any of the following fields:
grassland environment, landscape, ecology and systems analysis;
pasture and lawn establishment, management and cultivation;
grassland utilization, animal management, behavior, nutrition and production;
forage conservation, processing, storage, utilization and nutritive value;
physiology, morphology, pathology and entomology of plants;
breeding and genetics;
physicochemical property of soil, soil animals and microorganisms and plant
nutrition;
economics in grassland systems.