@article{Konrad_Cargnelutti Filho_Loro_Reis_Ortiz_Andretta_Schuller_2023, title={Prediction of fresh and dry matter of the aerial part of the plant teosinte as a function of morphological traits}, volume={12}, url={https://publicacoes.unifal-mg.edu.br/revistas/index.php/sigmae/article/view/2214}, abstractNote={<p><em>The objective of this work was to verify whether the fresh and dry matter of the aerial part of the teosinte plant can be estimated as a function of morphological traits. An experiment was conducted in the agricultural year 2021/2022, in nine sowing dates.</em> <em>The following morphological traits were measured: stem length of the main stem (CC, cm); length of the main stem tassel (CP, cm); number of leaves on the main stem (NF); and number of tillers of the plant (NPF) and the productive ones: fresh mass of the aerial part of the plant (MFPA, g) and dry mass of the aerial part of the plant (MSPA, g). The parameters of the multiple linear regression model and the coefficient of determination were estimated considering the variables MFPA and MSPA as dependent and the other (CC, CP, NF, NPF) as independent. The parameters of the regression tree algorithm for predicting MFPA and MSPA were estimated as a function of the other variables (CC, CP, NF, NPF). The fresh and dry mass of the aerial part of the teosinte plant can be estimated as a function of morphological characters. The MFPA can be estimated by the following regression model: MFPA= -740.42 + 3.38(CC) + 9.70(CP) + 41.05(NF) + 85.70(NPF). While the MSPA can be estimated by the following regression model: MSPA= -84.33 + 0.85(CC) + 0.27(CP) + 3.67(NF) + 19.46(NPF). Plants with NPF greater than 8 and CC greater than 154 cm show the highest production of MFPA and MSPA.</em></p>}, number={3}, journal={Sigmae}, author={Konrad, Marcelo and Cargnelutti Filho, Alberto and Loro, Murilo Vieira and Reis, Mikael Brum dos and Ortiz, Vithória Morena and Andretta, João Augusto and Schuller, Bruno Raul}, year={2023}, month={Aug.}, pages={10–17} }