The Shade Avoidance Syndrome Under the Sugarcane Crop

Ascencio, Jocelyne; Lazo, José Vicente

doi:10.5772/35980

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…Although one may claim that perhaps the use of a large number of maize specimens would expand the range of REP values, which, in turn, would encapsulated those values obtained for sugarcane, the R/F R ratios obtained for sugarcane are consistently larger than those obtained for maize. It has been observed 18,25 that even small variations in these ratios can alter the equilibrium of different phytochrome forms significantly, which can have a major impact on plant development.…”

Section: Discussionmentioning

confidence: 99%

“…We then used these data to compute spectral features, namely the red edge position (REP ) 16 and the red to far-red ratio (R/F R), 17 often employed in the assessment of these plant's capabilities to cope with stress factors. 5,7,[18][19][20][21] The comparisons of the computed parameters are not meant to be exhaustive, especially considering the data scarcity problem highlighted earlier. In fact, our investigation aims to draw further attention to this problem, and serve as an additional catalyst for future initiatives aimed at the acquisition of comprehensive spectral datasets for these plants.…”

Section: Introductionmentioning

confidence: 99%

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Foliar spectral responses of sugarcane and maize: how comparable are they?

Baranoski

2023

Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV

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Sugarcane and maize (corn) crops are extensively used in the production of biofuel worldwide. These plants share important physiological and morphological traits. Both belong to the group of C4 species characterized by the presence of unifacial leaves. Moreover, their stress adaptation mechanisms make them less susceptible to adverse conditions elicited by climate changes. Given these aspects and their economical value, one would expect that there is no shortage of data for these plants, particularly with respect to their foliar spectral responses. After all, such data is essential for the efficacy of precision farming and remote sensing strategies devised to obtain an ecologically sustainable increase in the yield of these crops. However, this is not the case, with the data scarcity situation being markedly more serious for sugarcane. Because of that, and considering their physiological and morphological similarities, investigations on the spectral responses of C4 plants are usually conducted using data obtained from maize specimens, with the resulting findings often being implicitly extended to sugarcane. This raises the question of whether the level of comparability between the foliar spectral responses of these two species is sufficient to support such an approach. In this paper, we aim to contribute to the elucidation of this question. Using measured reflectance data obtained for maize and sugarcane leaves, we compute selected spectral features associated with these specimens, and assess possible discrepancy trends. We then discuss data availability issues in this area, and identify relevant topics for future research that will likely require comprehensive measured spectral datasets for these plants.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Foliar spectral responses of sugarcane and maize: how comparable are they?

Baranoski

2023

Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV

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Sugarcane

Singels

Jackson

Inman-Bamber

2021

Crop Physiology Case Histories for Major Crops

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Crop Parameters for Modeling Sugarcane under Rainfed Conditions in Mexico

Baez-González¹,

Kiniry²,

Meki³

et al. 2017

Sustainability

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Crop models with well-tested parameters may help improve sugarcane productivity for food and biofuel generation, especially in rainfed areas where studies are scarce. This study aimed to calibrate crop parameters for the sugarcane cultivar CP 72-2086, an early-maturing cultivar widely grown in Mexico and other countries, and evaluate their adequacy in simulating sugarcane in a diverse range of rainfed conditions. For the calibration and evaluation of parameters, the ALMANAC model was used with climate, soil, management, and yield for two growing seasons from 30 farms in three regions (Northeastern Mexico, Gulf of Mexico, and Pacific Mexico). Statistical analyses were made using regression analysis and mean squared deviation and its three components, i.e., the squared bias, the lack of correlation weighted by the standard deviations, and the squared difference between standard deviations. Model simulations with a light extinction coefficient (k) of 0.69, maximum leaf area index of 7.5, leaf area index decline rate of 0.3, optimal and minimum temperature for plant growth of 32 °C and 11 °C, respectively, potential heat units of 6000 to 7400 degree days (base 11 °C), harvest index of 0.9; maximum crop height of 4.0 m, and root depth of 2.0 m showed highest accuracy and captured best the magnitude of yield fluctuations with a root mean squared deviation of 7.8 Mg ha−1. The parameters were found to be reasonable to use in simulating sugarcane in diverse regions under rainfed conditions. Using a dynamic value of k (varying during the growing season) deserves further study as it may help improve crop model precision.

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The Shade Avoidance Syndrome Under the Sugarcane Crop

Cited by 3 publications

References 26 publications

Foliar spectral responses of sugarcane and maize: how comparable are they?

Foliar spectral responses of sugarcane and maize: how comparable are they?

Sugarcane

Crop Parameters for Modeling Sugarcane under Rainfed Conditions in Mexico

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