Evaluation of a leaf area prediction model proposed for sunflower

Tsialtas, J. T.; Maslaris, N.

doi:10.1007/s11099-008-0052-6

Cited by 15 publications

(12 citation statements)

References 18 publications

(17 reference statements)

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“…The high grain yield of variety Dorado was as a result of its high LAI. A similar observation was made by Rosenthal and Vanderlip (2004) and Tsialtas and Maslaris (2008), who stated that LAI influences plants to capture photon to increase photosynthetic rate and this enhances assimilate partitioning resulting in high growth and grain yield. The results on correlation studies in the present study also support the above observation.…”

Section: Discussionsupporting

confidence: 77%

“…In crop production, leaf area index, defined as the total leaf area per unit ground area, is commonly used to quantify vegetative canopy structures (Welles and Norman, 1991). Leaf area index influences photon capture, photosynthesis, assimilate partitioning as well as growth and yield formation (Rosenthal and Vanderlip, 2004;Tsialtas and Maslaris, 2008). This quantity is used to predict the photosynthetic capacity of a crop and serves as a reference tool for crop growth.…”

Section: Introductionmentioning

confidence: 99%

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Graphical Determination of Leaf Area Index and its Relationship with Growth and Yield Parameters of Sorghum (Sorghum bicolor L. Moench) as Affected by Fertilizer Application

Addai¹,

Alimiyawo²

2015

J. of Agronomy

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A B S T R A C T Studies were conducted during the 2013 and 2014 cropping seasons at the University for Development Studies, Nyankpala, Ghana to determine leaf area indices of three Sorghum (Sorghum bicolor (L.) Moench) varieties using the graphical approach. Three varieties viz., Kapala, Kadaga and Dorado were planted and applied with three rates: 0-0-0, 45-30-30, 35-20-20 and 45:30:30 of N, P and K, respectively. Treatment combinations were replicated three times in RCBD. Results indicated that the application of N, P and K at 45:30:30 or 35-20-20 to variety Dorado or Kadaga significantly increased leaf number, seed weight, grain yield and LAI of Sorghum. The data also showed that LAI correlated positively with panicle length and number of leaves. The relationships between LAI and 100 seed weight and LAI and grain yield were also high but negative. The leaf area constants for Sorghum have been developed and were found to be 0.723, 0.661 and 0.545, respectively, for varieties Kadaga, Kapala and Dorado. They can be used by researchers in computing LAI to predict growth and development of Sorghum. Farmers in the study area who cultivate Dorado or Kadaga should apply N, P and K at 45:30:30 to increase growth and yield of Sorghum.

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Section: Discussionsupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Graphical Determination of Leaf Area Index and its Relationship with Growth and Yield Parameters of Sorghum (Sorghum bicolor L. Moench) as Affected by Fertilizer Application

Addai¹,

Alimiyawo²

2015

J. of Agronomy

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“…Nitrogen plays an important role in plant growth (Shah et al, 2003) as it is a constituent of the building blocks of almost all plant structures such as proteins, enzymes and chlorophyll (Haque et al, 2001). Optimum concentration of N increases leaf area , photosynthetic processes, leaf area duration and net assimilation rate as well (Ahmad et al, 2009;Munir et al, 2007) which ultimately contributes towards higher grain yield (Cheema et al, 2001;Tsialtas & Maslaris, 2008;Rafiq et al, 2010). Furthermore, N has a unique position as a nutrient because it stimulates root growth and crop development along with uptake of the other plant nutrients (Hofman and Cleemput, 2004).…”

Section: Introductionmentioning

confidence: 99%

Nitrogen Management in Calcareous Soils: Problems and Solutions

Maqsood¹,

Awan²,

Aziz³

et al. 2016

PAKJAS

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Nitrogen (N) is the most widely applied plant nutrient and is a key constituent of animal manures. Improvement in crop yields and high economic returns have been made possible through supplementation of crops with organic and inorganic fertilizers. The movement of N in the environment has been extensively studied and documented. The fate of N ranges from nitrification, denitrification, nitrous oxide formation, leaching of nitrate, and volatilization of ammonia. Even with this knowledge the variation in N movement within the soil, air and water varies greatly with changed edaphic factors. For instance the fate of N fertilizer under calcareous soil systems still has not been investigated widely. We reviewed the sporadic information available on N fate and management in calcareous soils especially in Pakistan. We discussed the sources and fate of N in calcareous soils of Pakistan and also the currently adopted and newly developed method to reduce the N losses.

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“…Also, there are numerous of LA prediction models based on the total number of leaves or leaflets per plant, green leaf dry matter or total aboveground biomass dry matter. Various models relating traits mentioned above to LA have been developed for several crops (Bhatt and Chanda 2003, de Jesus et al 2001, Peksen 2007, Kathirvelan and Kalaiselvan 2007, Ma et al 1992, Tsialtas and Maslaris 2005, 2008aTsialtas et al 2008, Bange et al 2000Shih et al 1981, Lu et al 2004, Shin and Snyder 1984, Payne et al 1991, AkramGhaderi and Soltani 2007, Soltani et al 2006, Lieth et al 1986, Ramos et al 1983, Mokhtarpour et al 2010and Kumar 2009). …”

Section: Introductionmentioning

confidence: 99%

Application of linear models for estimation of leaf area in soybean [Glycine max (L.) Merr]

Bakhshandeh¹,

Kamkar²,

Tsialtas³

2011

Photosynt.

Self Cite

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Leaf area estimation is an important measurement for comparing plant growth in field and pot experiments. In this study, determination of the leaf area (LA, cm 2 ) in soybean [Glycine max (L.) Merr] involves measurements of leaf parameters such as maximum terminal leaflet length (L, cm), width (W, cm), product of length and width (LW), green leaf dry matter (GLDM) and the total number of green leaflets per plant (TNLP) as independent variables. A two-year study was carried out during 2009 (three cultivars) and 2010 (four cultivars) under field conditions to build a model for estimation of LA across soybean cultivars. Regression analysis of LA vs. L and W revealed several functions that could be used to estimate the area of individual leaflet (LE), trifoliate (T) and total leaf area (TLA). Results showed that the LW-based models were better (highest R 2 and smallest RMSE) than models based on L or W and models that used GLDM and TNLP as independent variables. The proposed linear models are: LE = 0.754 + 0.655 LW, (R 2 = 0.98), T = -4.869 + 1.923 LW, (R 2 = 0.97), and TLA = 6.876 + 1.813 ΣLW (summed product of L and W terminal leaflets per plant), (R 2 = 0.99). The validation of the models based on LW and developed on cv. DPX showed that the correlation between calculated and measured LA was strong. Therefore, the proposed models can estimate accurately and massively the LA in soybeans without the use of expensive instrumentation.

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Evaluation of a leaf area prediction model proposed for sunflower

Cited by 15 publications

References 18 publications

Graphical Determination of Leaf Area Index and its Relationship with Growth and Yield Parameters of Sorghum (Sorghum bicolor L. Moench) as Affected by Fertilizer Application

Graphical Determination of Leaf Area Index and its Relationship with Growth and Yield Parameters of Sorghum (Sorghum bicolor L. Moench) as Affected by Fertilizer Application

Nitrogen Management in Calcareous Soils: Problems and Solutions

Application of linear models for estimation of leaf area in soybean [Glycine max (L.) Merr]

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