Canopy reflectance in cotton for growth assessment and lint yield prediction

Zhao, Duli; Reddy, K. Raja; Kakani, Vijaya Gopal; Read, John J.; Koti, Sailaja

doi:10.1016/j.eja.2006.12.001

Cited by 104 publications

(91 citation statements)

References 34 publications

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“…According to our results, large seed crops in Q. ilex might be anticipated when detecting large increasing trends in the deseasonalised EVI, mostly since the winter prior to seed harvest, especially if the trend begins at high EVI values and weather conditions during spring are mostly wet. Other authors have suggested that remotely sensed vegetative indices could predict yields in annual agricultural crops (Zhao et al 2007), but to our knowledge, this study is the first to demonstrate that seed production in forest ecosystems can also be detected using satellite imagery and weather data. Nevertheless, the study of species with different cycles of flowering, pollination, and maturation of seeds (e.g.…”

Section: Rethinking the Influence Of Weather On Masting Behaviourmentioning

confidence: 90%

Temporal trends in the enhanced vegetation index and spring weather predict seed production in Mediterranean oaks

et al. 2015

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The extremely year-to-year variable production of seeds (masting) is an extended plant reproductive behaviour important for forest dynamics and food webs. The dependence of these episodes of massive seed production on recently or long-term photosynthesised carbohydrates, however, remains controversial. In this paper, we explore whether vegetation (tree canopy) changes, detected using EVI as a proxy of leaf area and photosynthetic capacity, can provide a reliable estimation of seed production. To complete this analysis, we also explored the effect of weather both in the trends of EVI and in acorn crop size. To this end, we compared the trends of the EVI and acorn production over 10 years (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009) in five stands of Quercus ilex L. in Barcelona (Catalonia, NE Spain). We found that acorn production was mainly driven by a combination of: (i) a minimum initial threshold in the EVI values, (ii) an increase in EVI in the 9 ± 4 months prior to reproduction, and (iii) appropriate weather conditions (low water stress) during spring. These results indicated, apparently for the first time, that reproduction in masting species could be detected and partly predicted by remotely sensed vegetative indices. Our results suggested that this particular reproductive behaviour in Mediterranean oaks was driven by a combination of two factors, i.e. good and improving vegetation conditions, as shown by a minimum initial threshold and the increase in EVI needed for large seed crops, and the need of wet weather conditions during spring. Moreover, our results fully supported recent studies that have associated short-term photosynthate production with seed production.

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Section: Rethinking the Influence Of Weather On Masting Behaviourmentioning

confidence: 90%

Temporal trends in the enhanced vegetation index and spring weather predict seed production in Mediterranean oaks

et al. 2015

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“…Galvão et al (2009) studied the possibility of using satellite Hyperion hyperspectral images to estimate the yield of soybean obtaining a high correlation (r = 0.74) between the values of vegetation indices and weight of harvested seed. The relationship between cotton yield and hyperspectral data and the best time for its estimation was determined on the basis of ground-based measurements by Zhao et al (2007). Developed by Li et al (2007) model using artificial neural network structure enabled the prediction of yields of maize and soybean on the basis of satellite data from MODIS sensor in regional scale, with an accuracy of 85%.…”

Section: Introductionmentioning

confidence: 99%

Winter Oilseed-Rape Yield Estimates from Hyperspectral Radiometer Measurements

Piekarczyk

Sulewska

Szymańska

2011

Quaestiones Geographicae

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Abstract. Spectral reflectance data can be used for estimation of plant biophysical parameters such as seed yield, related to the use of solar energy. A field experiment was conducted to investigate relationships between canopy reflectance and seed yield of winter oilseed rape sown on four different dates. Ground hyperspectral reflectance measurements were made using a hand-held radiometer and multispectral images were taken with a VIS-NIR camera. The different sowing dates generated a wide range of difference in crop spectral response and seed yields. The strongest relationships (R 2 =0.87) between the yield and spectral data recorded by both sensors occurred at early flowering stages. Later, the presence of flowers caused a decline in the relationship between yield and spectral data especially in the visible (VIS) range. In the full flowering stage the strongest correlation (R 2 =0.72) with the yield showed vegetation indices of the near-infrared (NIR) bands.

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“…Since different N application rates can induce differences in physiological parameters as such chlorophyll concentration, leaf are index (LAI) and biomass (Milroy et al, 2001;Bronson et al, 2005;Zhao et al, 2007), percent ground cover can also provide information regarding crop growth and health independent of chlorosis. Therefore, ground cover can be a valuable measure of crop growth and N status.…”

Section: Introductionmentioning

confidence: 99%

Inter-relationships of cotton plant height, canopy width, ground cover and plant nitrogen status indicators

Muharam¹,

Bronson²,

Maas³

et al. 2014

Field Crops Research

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a b s t r a c tPetiole-NO 3 , leaf N and chlorophyll (SPAD) meter readings are good in-season indicators of the N status of the uppermost part of cotton (Gossypium hirsutum L.) plants. , particularly is widely used in the USA as an in-season plant N test that guides N fertilizer recommendations in cotton. However, these N status indicators do not take account of plant biomass, canopy width or percent cover. The objectives of this study were to assess the effect of N fertilizer rates on the commonly used indicators of plant N status; leaf N, petiole sap NO 3 and chlorophyll meter (SPAD) readings and the plant growth measurements; plant height, canopy width, and percent ground cover, and determine to inter-correlations among the them. Irrigated field studies were conducted at Lubbock, TX USA in 2010 and 2011, New Deal, TX in 2010, and at Halfway, TX in 2011. Zero-N and a full N fertilizer rate of 134, 101, and 112 kg N ha −1 were used at Lubbock, New Deal, and Halfway, respectively. The 2010 cotton growing season in West Texas was much wetter than average, and the 2011 season was much drier than normal. As a result, plant height, canopy width, and ground cover were greater in the 2010 sites than in 2011. The effects of N fertilizer were greatest for the two cultivars in subsurface drip irrigation (SDI) at New Deal in 2010 for all three N status indicators, and for the three plant growth measures compared to the other site-years. Correlation analysis indicated that among the three plant N indicators, leaf N was the most sensitive to plant parameters. These effects were positive in 2010 and negative in the 2011 dry year. Petiole NO 3 was the plant N indicator that was the most insensitive to plant growth, but the marked seasonal decline pattern reduces its usefulness for late-season N management.Published by Elsevier B.V.

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Canopy reflectance in cotton for growth assessment and lint yield prediction

Cited by 104 publications

References 34 publications

Temporal trends in the enhanced vegetation index and spring weather predict seed production in Mediterranean oaks

Temporal trends in the enhanced vegetation index and spring weather predict seed production in Mediterranean oaks

Winter Oilseed-Rape Yield Estimates from Hyperspectral Radiometer Measurements

Inter-relationships of cotton plant height, canopy width, ground cover and plant nitrogen status indicators

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