Plant height is the main factor driving forage yield of Poa species under different row spacings and seeding rates in the Qilian Mountains

Scientific and reasonable planting densities are crucial for <i>Poa</i> species forage production. However, the optimal row spacing and seeding rate for <i>Poa</i> species cultivation, and the effects of row spacing and seeding rate on <i>Poa</i> species forage yield in the Qilian Mountains remain unclear. In the current study, <i>P. sinoglauca</i> Ohwi., <i>P. crymophila</i> Keng, <i>P. pratensis</i> L. var. <i>anceps</i> Gaud, and <i>P. pagophila</i> Bor were selected as study materials, and a split field experiment designed with row spacing as the main factor and seeding rates as the sub-factor was conducted to study the effects of different row spacings and seeding rates on the agronomic traits and forage yield benefits of <i>Poa</i> species. The main plots were designed with different row spacings of 15 cm (R<sub>1</sub>), 30 cm (R<sub>2</sub>), and 45 cm (R<sub>3</sub>), and the subplots were designed with different seeding rates of 7.0 kg·hm<sup>-2</sup> (S<sub>1</sub>), 12.0 kg·hm<sup>-2</sup> (S<sub>2</sub>), and 17.0 kg·hm<sup>-2</sup> (S<sub>3</sub>). A subsection structural equation model was used to analyze the influence process and path coefficients of row spacing, seeding rate, and the interaction between row spacing and seeding rate on the yield of <i>Poa</i> species, and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) was used to comprehensively assess the agronomic traits and forage yield of the experimental varieties. Our results showed that row spacing significantly affected the plant height, tiller number, fertile tiller number, and forage yield of the four <i>Poa</i> species, while seeding rate and interaction between row spacing and seeding rate had significant effects on the forage yield of the four <i>Poa</i> species. The highest forage yields of <i>P. sinoglauca</i> (6709.1 kg·hm<sup>-</sup>²) and <i>P. crymophila</i> (7471.3 kg·hm<sup>-</sup>²) were recorded for a row spacing of 30 cm and seeding rate of 17 kg·hm<sup>-</sup>², and the highest forage yields of <i>P. pratensis</i> L. var. <i>anceps</i> (9469.0 kg·hm<sup>-</sup>²) and <i>P. pagophila</i> (8152.7 kg·hm<sup>-</sup>²) were recorded for a row spacing of 30 cm and seeding rate of 12 kg·hm<sup>-</sup>². Structural equation modeling indicated that row spacing, seeding rate, and the interaction between row spacing and seeding rate primarily affected the forage yield of <i>Poa</i> species by affecting plant height. Our research provided optimal sowing and row spacing for <i>Poa</i> species depending on the species to optimize forage production in the southern Qilian Mountains and similar areas.

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Publication Details

Journal
Frontiers in Plant Science
Published
2025-02-21
DOI
https://doi.org/10.3389/fpls.2025.1535937
Citations
3
Primary Topic
Agronomic Practices and Intercropping Systems
Type
article
Field-Weighted Citation Impact
5.71
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article

Plant height is the main factor driving forage yield of Poa species under different row spacings and seeding rates in the Qilian Mountains

Li Wen, E. Li, Yani Guo, Jinlan Wang et al.
3 citations
Frontiers in Plant Science
Agronomic Practices and Intercropping Systems
5.71
article

Plant height is the main factor driving forage yield of Poa species under different row spacings and seeding rates in the Qilian Mountains

Li Wen, E. Li, Yani Guo, Jinlan Wang, Xiaojun Wang
article en
3 citations

Abstract

Scientific and reasonable planting densities are crucial for <i>Poa</i> species forage production. However, the optimal row spacing and seeding rate for <i>Poa</i> species cultivation, and the effects of row spacing and seeding rate on <i>Poa</i> species forage yield in the Qilian Mountains remain unclear. In the current study, <i>P. sinoglauca</i> Ohwi., <i>P. crymophila</i> Keng, <i>P. pratensis</i> L. var. <i>anceps</i> Gaud, and <i>P. pagophila</i> Bor were selected as study materials, and a split field experiment designed with row spacing as the main factor and seeding rates as the sub-factor was conducted to study the effects of different row spacings and seeding rates on the agronomic traits and forage yield benefits of <i>Poa</i> species. The main plots were designed with different row spacings of 15 cm (R<sub>1</sub>), 30 cm (R<sub>2</sub>), and 45 cm (R<sub>3</sub>), and the subplots were designed with different seeding rates of 7.0 kg·hm<sup>-2</sup> (S<sub>1</sub>), 12.0 kg·hm<sup>-2</sup> (S<sub>2</sub>), and 17.0 kg·hm<sup>-2</sup> (S<sub>3</sub>). A subsection structural equation model was used to analyze the influence process and path coefficients of row spacing, seeding rate, and the interaction between row spacing and seeding rate on the yield of <i>Poa</i> species, and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) was used to comprehensively assess the agronomic traits and forage yield of the experimental varieties. Our results showed that row spacing significantly affected the plant height, tiller number, fertile tiller number, and forage yield of the four <i>Poa</i> species, while seeding rate and interaction between row spacing and seeding rate had significant effects on the forage yield of the four <i>Poa</i> species. The highest forage yields of <i>P. sinoglauca</i> (6709.1 kg·hm<sup>-</sup>²) and <i>P. crymophila</i> (7471.3 kg·hm<sup>-</sup>²) were recorded for a row spacing of 30 cm and seeding rate of 17 kg·hm<sup>-</sup>², and the highest forage yields of <i>P. pratensis</i> L. var. <i>anceps</i> (9469.0 kg·hm<sup>-</sup>²) and <i>P. pagophila</i> (8152.7 kg·hm<sup>-</sup>²) were recorded for a row spacing of 30 cm and seeding rate of 12 kg·hm<sup>-</sup>². Structural equation modeling indicated that row spacing, seeding rate, and the interaction between row spacing and seeding rate primarily affected the forage yield of <i>Poa</i> species by affecting plant height. Our research provided optimal sowing and row spacing for <i>Poa</i> species depending on the species to optimize forage production in the southern Qilian Mountains and similar areas.

Frontiers in Plant ScienceVol. 16
Qinghai University (CN)
Openalex Percentile: Top 6%
Agronomic Practices and Intercropping Systems
5.71
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