How to enhance the agronomic performance of cactus-sorghum intercropped system: planting configurations, density and orientation

Alves, Cléber Pereira; Jardim, Alexandre Maniçoba da Rosa Ferraz; Júnior, George do Nascimento Araújo; Souza, Luciana Sandra Bastos de; Araújo, Gherman Garcia Leal de; Souza, Carlos André Alves de; Salvador, Kaique Renan da Silva; Leite, Renan Matheus Cordeiro; Pinheiro, Antônio Gebson; Silva, Thieres George Freire da

doi:10.1016/j.indcrop.2022.115059

Cited by 17 publications

(6 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They remained until reaching constant weight. The dry matter (DM) content was obtained by the ratio between the values of dry and fresh matter (Alves et al, 2022).…”

Section: Cactus and Millet Yieldmentioning

confidence: 99%

See 1 more Smart Citation

Combined agricultural practices in millet and cactus: phyllochron, structural characteristics and relations with yield

Silva

Jardim

Souza

et al. 2023

Sci. agric. (Piracicaba, Braz.)

Self Cite

View full text Add to dashboard Cite

Variation in rainfall affects crops; therefore, agricultural practices become essential for forage production in semi-arid regions. This study aimed to evaluate the influence of different agricultural practices on phyllochron, structural characteristics of forage cactus and millet, and their relations with crop yield using the principal component analysis (PCA). The design was in randomized blocks, with six treatments: sole cropped cactus without straw mulching, sole cropped cactus with straw mulching, sole cropped millet without straw mulching, sole cropped millet with straw mulching, and cactus intercropping with millet, with and without straw mulching, each with four replicates. There were three cactus cycles and nine millet cycles (three cycles of cultivars BRS1501 and six of IPA Bulk-1-BF). Biometric parameters were evaluated monthly, while yield was determined after the crop harvest. Phyllochron was determined with the regression analysis. The PCA was applied to structural characteristics and yield. The systems adopted did not influence the structural characteristics of cactus and millet (p > 0.05), except for cladode thickness, which increased with straw mulching. Phyllochron of the millet reduced when the crop was intercropped. The structural characteristics of cladode length, width, and thickness influenced crop yield, mainly in systems with straw mulching. Straw mulching and intercropping alter phyllochron of cactus and millet. The adoption of straw mulching has a more significant relationship with cactus yield, whereas biometric variables influence crop yield for millet, not the cropping system.

show abstract

“…They remained until reaching constant weight. The dry matter (DM) content was obtained by the ratio between the values of dry and fresh matter (Alves et al, 2022).…”

Section: Cactus and Millet Yieldmentioning

confidence: 99%

“…After weighing, two plants per plot were selected, divided into living leaves, dead leaves, stem, and panicle, and placed in paper bags. Subsequently, they were weighed to obtain the fresh matter weight and placed in a forced air circulation oven at 55 ºC to obtain the DM weight (Alves et al, 2022).…”

Section: Cactus and Millet Yieldmentioning

confidence: 99%

Combined agricultural practices in millet and cactus: phyllochron, structural characteristics and relations with yield

Silva

Jardim

Souza

et al. 2023

Sci. agric. (Piracicaba, Braz.)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Dry-matter accumulation of the maize occurred through photosynthetic production, which depended heavily on the leaf canopy characteristics, while dense planting increased maize's leaf area and light interception to improve the maize's productivity [39,40]. Intercropping has the potential to accommodate larger groups and obtain a higher biomass yield and grain yield; examples include pigeon pea-sorghum intercropping and cactus-sorghum intercropping [41][42][43]. The spatial and temporal arrangement of two crops with different growth habits on neighboring strips enhanced the efficient use of resources so that intercropping could support a larger population, thus increasing the dry-matter accumulation and grain yield [44,45].…”

Section: Correlation Analysis Between Photosynthetic Characteristicsmentioning

confidence: 99%

Photophysiological Mechanism of Dense Planting to Increase the Grain Yield of Intercropped Maize with Nitrogen-Reduction Application in Arid Conditions

Fan¹,

Yin

Zhao³

et al. 2022

Agronomy

View full text Add to dashboard Cite

Leaf photophysiological characteristics are the main indexes that determine crop yield formation. However, it remains unclear whether photosynthesis is systematically regulated via the cropping pattern and nitrogen supply when maize crops are planted with a high density. So, a field experiment that had a three-factor split-plot arrangement of treatments was conducted from 2020 to 2021. The main plot was two cropping patterns that included the sole cropping of maize and wheat–maize intercropping. The split plot had two nitrogen application rates: a traditional nitrogen application rate (N2, 360 kg ha−1) and one reduced by 25% (N1, 270 kg ha−1) for maize. The split–split plot had three planting densities: a traditional density (M1, 78,000 plant ha−1), a medium density (M2, 10,400 plant ha−1), and a high density (M3, 129,000 plant ha−1) for sole maize; the corresponding densities of intercropped maize were 45,000, 60,000, and 75,000 plant ha−1, respectively. The grain yield, the photosynthetic traits, and chlorophyll a fluorescence of the maize were assessed. The results showed that a 25% nitrogen reduction and dense planting had a negative impact on the individual maize’s photosynthesis. However, intercropping could alleviate these drawbacks. When the maize was grown in the intercropping system at a lower nitrogen level and a medium planting density (IN1M2), the photosynthetic traits were better or similar to those of the traditional treatment (SN2M1) at the reproductive growth stage. Moreover, IN1M2 improved the light energy distribution among photochemistry, photo-protective and heat dissipation process of maize compared with SN2M1. A grey relation analysis demonstrated that the Pn and Tr of the individual maize played the most significant role in the group’s productivity. Thus, the IN1M2 treatment achieved the highest grain yield and can be recommended as a feasible agronomic practice in oasis-irrigated regions.

show abstract

“…Among the crops with high potential and resilience in the Brazilian semiarid environment, AgriEngineering 2024, 6 510 the forage cactus stands out. When irrigated using conservation techniques, it shows high development and production, yielding positive results when grown intercropped with some other crop species [6].…”

Section: Introductionmentioning

confidence: 99%

UAV-Based Classification of Intercropped Forage Cactus: A Comparison of RGB and Multispectral Sample Spaces Using Machine Learning in an Irrigated Area

Andrade,

Montenegro,

Silva Neto

et al. 2024

AgriEngineering

Self Cite

View full text Add to dashboard Cite

Precision agriculture requires accurate methods for classifying crops and soil cover in agricultural production areas. The study aims to evaluate three machine learning-based classifiers to identify intercropped forage cactus cultivation in irrigated areas using Unmanned Aerial Vehicles (UAV). It conducted a comparative analysis between multispectral and visible Red-Green-Blue (RGB) sampling, followed by the efficiency analysis of Gaussian Mixture Model (GMM), K-Nearest Neighbors (KNN), and Random Forest (RF) algorithms. The classification targets included exposed soil, mulching soil cover, developed and undeveloped forage cactus, moringa, and gliricidia in the Brazilian semiarid. The results indicated that the KNN and RF algorithms outperformed other methods, showing no significant differences according to the kappa index for both Multispectral and RGB sample spaces. In contrast, the GMM showed lower performance, with kappa index values of 0.82 and 0.78, compared to RF 0.86 and 0.82, and KNN 0.86 and 0.82. The KNN and RF algorithms performed well, with individual accuracy rates above 85% for both sample spaces. Overall, the KNN algorithm demonstrated superiority for the RGB sample space, whereas the RF algorithm excelled for the multispectral sample space. Even with the better performance of multispectral images, machine learning algorithms applied to RGB samples produced promising results for crop classification.

show abstract

How to enhance the agronomic performance of cactus-sorghum intercropped system: planting configurations, density and orientation

Cited by 17 publications

References 57 publications

Combined agricultural practices in millet and cactus: phyllochron, structural characteristics and relations with yield

Combined agricultural practices in millet and cactus: phyllochron, structural characteristics and relations with yield

Photophysiological Mechanism of Dense Planting to Increase the Grain Yield of Intercropped Maize with Nitrogen-Reduction Application in Arid Conditions

UAV-Based Classification of Intercropped Forage Cactus: A Comparison of RGB and Multispectral Sample Spaces Using Machine Learning in an Irrigated Area

Contact Info

Product

Resources

About