scholarly journals Spring planting favors yield of new Brazilian potato cultivar BRS F63 Camila

2019 ◽  
Vol 37 (4) ◽  
pp. 415-422
Author(s):  
Vlandiney Eschemback ◽  
Jackson Kawakami ◽  
Aline M Genú ◽  
Leonardo Z Anderle
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Growth Period ◽  
Planting Date ◽  
Yield Potential ◽  
Plant Management ◽  
Average Weight ◽  
Index Number ◽  
Area Index ◽  
The Third

ABSTRACT The objective of this work was to evaluate the effect of different planting dates on the morphological variables and yield of new potato cultivars. The treatments were three cultivars (Agata, BRS Clara and BRS F63 Camila) and three planting date (October, December and February), carried out in two crop years (2014/15 and 2015/16). Total and marketable yields, average mass of total and marketable tubers, growth period, leaf area index, number and dry weight of the tubers were evaluated. The first planting date resulted in higher yield than the third date. Cultivar BRS F63 Camila was the one with highest yield in this first planting date (47.4 t ha-1), due to greater number of tubers produced in relation to the other cultivars and to higher average tuber weight (166 g tuber-1) in relation to Agata (113 g tuber-1). In the second planting date, no difference in yield was observed among cultivars. In the third planting date, BRS Clara was the cultivar with highest yield (21.3 t ha-1), due mainly to higher average weight of tubers (105 g tuber-1) in relation to Agata (49 g tuber-1), a fact favored by the higher leaf area index and longer growth period of BRS Clara. Depending on the planting date, one should choose the cultivar that results in maximum yield potential, since it is a plant management with low cost and high yield impact. For the second planting date, any of the studied cultivars can be used.

Study on the applicability of leaf area index estimation model in an aspen forest over a growth period

2016 ◽  
Vol 36 (8) ◽  
Author(s):  
王龑 WANG Yan ◽  
田庆久 TIAN Qingjiu ◽  
王琦 WANG Qi ◽  
王磊 WANG Lei
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Growth Period ◽  
Estimation Model ◽  
Area Index ◽  
Aspen Forest ◽  
Index Estimation

scholarly journals Sugarcane leaf area index modeling under different soil water conditions

1997 ◽  
Vol 54 (spe) ◽  
pp. 39-44 ◽  
Author(s):  
D.A. Teruel ◽  
V. Barbieri ◽  
L.A. Ferraro Jr.
Keyword(s):  
Water Stress ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Growth Period ◽  
Plant Growth And Development ◽  
Area Index ◽  
Stress Levels ◽  
Crop Cycle ◽  
Soil Water Conditions ◽  
Growth Deficit

The knowledge of the Leaf Area Index (LAI) variation during the whole crop cycle is essential to the modeling of the plant growth and development and, consequently, of the crop yield. Sugarcane LAI evolution models were developed for different crop cycles, by adjusting observed LAI values and growing degree-days summation data on a power-exponential function. The resultant equations simulate adequately the LAI behavior during the entire crop cycle. The effect of different water stress levels was calculated in different growth periods, upon the LAI growth The LAI growth deficit was correlated with the ratio between actual evapotranspiration and máximum evapotranspiration, and a constant named kuu was obtained hi each situation. It was noticed that the kLAI must be estimated not Just for different growth periods, but also for different water stress levels in each growth period.

scholarly journals Using UAV-Based SOPC Derived LAI and SAFY Model for Biomass and Yield Estimation of Winter Wheat

2020 ◽  
Vol 12 (15) ◽  
pp. 2378
Author(s):  
Yang Song ◽  
Jinfei Wang ◽  
Jiali Shang ◽  
Chunhua Liao
Keyword(s):  
Winter Wheat ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Point Cloud ◽  
Low Cost ◽  
Simple Algorithm ◽  
Yield Potential ◽  
Yield Estimation ◽  
Area Index ◽  
Cloud Data

Knowledge of sub-field yield potential is critical for guiding precision farming. The recently developed simulated observation of point cloud (SOPC) method can generate high spatial resolution winter wheat effective leaf area index (SOPC-LAIe) maps from the unmanned aerial vehicle (UAV)-based point cloud data without ground-based measurements. In this study, the SOPC-LAIe maps, for the first time, were applied to the simple algorithm for yield estimation (SAFY) to generate the sub-field biomass and yield maps. First, the dry aboveground biomass (DAM) measurements were used to determine the crop cultivar-specific parameters and simulated green leaf area index (LAI) in the SAFY model. Then, the SOPC-LAIe maps were converted to green LAI using a normalization approach. Finally, the multiple SOPC-LAIe maps were applied to the SAFY model to generate the final DAM and yield maps. The root mean square error (RMSE) between the estimated and measured yield is 88 g/m2, and the relative root mean squire error (RRMSE) is 15.2%. The pixel-based DAM and yield map generated in this study revealed clearly the within-field yield variation. This framework using the UAV-based SOPC-LAIe maps and SAFY model could be a simple and low-cost alternative for final yield estimation at the sub-field scale.

Comparison of architecture among different cultivars of hybrid rice using a spatial light model based on 3-D digitising

2008 ◽  
Vol 35 (10) ◽  
pp. 900 ◽  
Author(s):  
Bangyou Zheng ◽  
Lijuan Shi ◽  
Yuntao Ma ◽  
Qiyun Deng ◽  
Baoguo Li ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Rice Plant ◽  
Hybrid Rice ◽  
Structural Parameters ◽  
Light Distribution ◽  
Yield Potential ◽  
Carbon Gain ◽  
Area Index

Modification of plant types (i.e. plant architecture) is an important strategy to enhance the yield potential of crops. The aims of this study were to specify rice plant types using 3-D modelling methodology. The architecture of three typical hybrid rice cultivars were measured in situ in a paddy field using a 3-D digitiser at four development stages from the panicle initiation to the filling stage. The structural parameters of the rice canopies were calculated and their light capture and potential carbon gain were simulated based on a 3-D light model. The results confirmed that a plant type with steeper leaf angles let light penetrate more deeply with relatively uniform light distribution in the canopy at higher sun elevation angles, although this result was related to leaf area index. The variations of plant types, however, did not convert into differences of light distribution across rice varieties at lower sun elevation angles. Light use efficiency at the higher leaf area index could be enhanced by reducing mutual-shading. These results indicate that a promising approach to quantify the rice architecture in situ is to combine 3-D digitising and a 3-D light model to evaluate light interception and photosynthesis of rice plant types.

scholarly journals The role of leaf area and photosynthesis in optimising the sowing date of maize

2015 ◽  
pp. 5-10
Author(s):  
Enikő Bene ◽  
Mihály Sárvári
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
High Performance ◽  
Photosynthetic Capacity ◽  
Linear Regression Analysis ◽  
Sowing Date ◽  
Area Index ◽  
The Third ◽  
Growing Seasons ◽  
Plant Sciences

  Our sowing date experiment took place in the Demonstration Garden of Institution of Plant Sciences, Agricultural Center of University of Debrecen, in 2012–2014. The thesis contains data of test year 2014. Our purpose, besides several other examinations, was to observe how sowing date influences leaf area index and activity of photosynthesis of maize hybrids, and how those factors affect fruiting. In the experiment we monitored the change of the leaf area index and the photosynthesis of hybrids with four different growing seasons. Based on the results, it can be concluded that most of the examined hybrids reached their smallest leaf area with the third sowing date and with the highest yield results. Hybrid Da Sonka had the largest leaf area (4.10 m2 m-2), and hybrid DKC 4590 produced the highest yield (13.16 t ha-1) with the third sowing date. During testing the photosynthetic capacity, the extremely high performance of the youngest plants with the third sowing date is outstanding, which can be explained by the different ripening periods. Examination of the correlation between the photosynthetic capacity and the yield, by linear regression analysis, also proves that photosynthesis has a determinative role in fruiting. The results obtained confirm that not only the environmental and agricultural factors in the growing season have effect on the yield, but also other factors like the leaf area index and the photosynthesis are determinative parameters, and all those factors together, modifying effects of each other, develop average yields.

scholarly journals Temporal Dynamics of Soybean Rust Associated With Leaf Area Index in Soybean Cultivars of different Maturity Groups

Plant Disease ◽  
2015 ◽  
Vol 99 (9) ◽  
pp. 1216-1226 ◽  
Author(s):  
E. N. Moreira ◽  
F. X. R. Vale ◽  
P. A. Paul ◽  
F. A. Rodrigues ◽  
W. C. Jesus Júnior
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Planting Date ◽  
Soybean Rust ◽  
Relative Area ◽  
Planting Dates ◽  
Area Index ◽  
Progress Curve ◽  
Early Maturing ◽  
Maturity Groups

Experiments were conducted in Mato Grosso, Brazil, from 2009 to 2011 to evaluate the effects of planting date (October, November, December, and January) on soybean rust (SBR) and leaf area index (LAI) in SBR-susceptible soybean cultivars of different maturity groups (early-maturing, midseason, and late-maturing). Mean relative area under the LAI progress curve (RAULAIPC) was significantly higher (P < 0.05) for the late-maturing than early-maturing and midseason cultivars. The October planting date had significantly higher (P < 0.05) mean RAULAIPC than the December and January planting dates. Mean relative area under the SBR progress curve was significantly lower (P < 0.05) for the late-maturing than the midseason and early-maturing cultivars, and significantly higher (P < 0.05) for the December and January than the October and November planting dates. Based on the logistic population growth model, SBR severity increased over time at a significantly higher mean rate for the early-maturing than the midseason and late-maturing cultivars. It took longer for SBR to reach a certain severity level for the late-maturing cultivar planted in January than the early-maturing cultivar planted in October. This implies that fungicides would need to be applied early to the early-maturing cultivar planted in October to minimize yield loss.

scholarly journals Assessment of Leaf Area Index of Rice for a Growing Cycle Using Multi-Temporal C-Band PolSAR Datasets

2019 ◽  
Vol 11 (22) ◽  
pp. 2640 ◽  
Author(s):  
Ze He ◽  
Shihua Li ◽  
Yong Wang ◽  
Yueming Hu ◽  
Feixiang Chen
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Growth Period ◽  
Estimation Accuracy ◽  
Area Index ◽  
Acceptable Error ◽  
Lower Estimation ◽  
Wide Availability ◽  
Multi Temporal ◽  
Phenological Cycle

C-band polarimetric synthetic aperture radar (PolSAR) data has been previously explored for estimating the leaf area index (LAI) of rice. Although the rice-growing cycle was partially covered in most of the studies, details for each phenological phase need to be further characterized. Additionally, the selection and exploration of polarimetric parameters are not comprehensive. This study evaluates the potential of a set of polarimetric parameters derived from multi-temporal RADARSAT-2 datasets for rice LAI estimation. The relationships of rice LAI with backscattering coefficients and polarimetric decomposition parameters have been examined in a complete phenological cycle. Most polarimetric parameters had weak relationships (R2 < 0.30) with LAI at the transplanting, reproductive, and maturity phase. Stronger relationships (R2 > 0.50) were observed at the vegetative phase. HV/VV and RVI FD had significant relationships (R2 > 0.80) with rice LAI for the whole growth period. They were utilized to develop empirical models. The best LAI inversion performance (RMSE = 0.81) was obtained when RVI FD was used. The acceptable error demonstrated the possibility to use the decomposition parameters for rice LAI estimation. The HV/VV-based model had a slightly lower estimation accuracy (RMSE = 1.29) but can be a practical alternative considering the wide availability of dual-polarized datasets.

scholarly journals Sowing Time of Sweet Corn in Summer Season in Northwestern Paraná, Brazil

2018 ◽  
Vol 10 (11) ◽  
pp. 138
Author(s):  
Antônio A. N. Franco ◽  
Pedro S. Vidigal Filho ◽  
Carlos A. Scapim ◽  
Ricardo S. Okumura ◽  
Alberto Y. Numoto ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Plant Height ◽  
Sweet Corn ◽  
Block Design ◽  
Summer Season ◽  
Yield Potential ◽  
Maximum Height ◽  
Sowing Time ◽  
Area Index

The aims of study were to evaluate the effect of sowing time in summer season on agronomic characteristics of sweet corn grown in summer season in Northwest Paran&aacute;, Brazil. The experiments were conducted in 2011, and 2012, in both years, the sowing was carried out on ST1: 09/05; ST2: 09/19; ST3: 10/03; ST4: 10/17, and ST5: 10/31. The experimental design was a randomized block design in a 5 &times; 2 factorial scheme, consisting of sowing time and two corn hybrids, with four replicates. The evaluated variables were plant height, leaf area index and yield of commercial ears, in which the effects of sowing times were studied through regression analysis, and effects of hybrids and agricultural years were studied by F-test. Sowing times promoted reductions in phenology of hybrids, but did not provide variations in degree-days accumulation by hybrids. The maximum leaf area index (3.82) was estimated for 10/04. In year 2011, the maximum plant height (2.17 m) and yield (13.0 Mg ha-1) were estimated for 10/06, and 10/03, respectively. While, in year 2012, the maximum height (2.22 m) and yield (12.85 Mg ha-1) were obtained on 10/09 and 10/11, respectively. The hybrid RB6324 showed greater yield potential, independent of year.

scholarly journals Growth indices ans productivity in sugarcane

2005 ◽  
Vol 62 (1) ◽  
pp. 23-30 ◽  
Author(s):  
Maurício dos Santos Simões ◽  
Jansle Vieira Rocha ◽  
Rubens Augusto Camargo Lamparelli
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Prediction Models ◽  
Gompertz Model ◽  
Exponential Model ◽  
Index Number ◽  
Total Biomass ◽  
Biophysical Parameters ◽  
Area Index ◽  
Cane Productivity

A knowledge about the temporal development of agronomic variables in sugarcane is a very important aspect for the development of crop yield prediction models using remote sensing, and further studies are still needed. This paper describes the temporal evolution of sugarcane biophysical parameters, such as total biomass, leaf area index, number of plants per meter, and productivity. During two seasons, a commercial field in Araras/SP, planted with variety SP80-1842, on the 4th and 5th cuts, was monitored on eight different dates, and data were obtained for 2 m of sugarcane in three crop rows at 18 sampling points. Linear and multiple regression analyses were used to study growth analysis and to correlate agronomic variables (leaf area index and number of plants per meter) with biomass and productivity. Gompertz model, a sigmoidal curve, was the best adjustment curve for total biomass and yield in relation to days after cutting (r² = 0.8987 and r² = 0.9682, respectively); number of plants and leaf area index showed best fit with a cubic exponential model and a quadratic exponential model, respectively. Total biomass and cane productivity were well correlated with LAI in the first two stages of the sugarcane cycle using linear regression. At the end of the cycle, total biomass and cane productivity were more related to number of plants, and lower r² values than in other stages were obtained by the models.

scholarly journals Effect of Combined Application of Organic and Inorganic Fertilizers on Peanut Production

2006 ◽  
Vol 6 (1) ◽  
pp. 31-46
Author(s):  
Rosalia Briones ◽  
◽  
Pedro Pascual ◽  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Inorganic Fertilizer ◽  
Index Number ◽  
Net Income ◽  
Area Index ◽  
Combined Application ◽  
Peanut Production ◽  
Fertilizer Combination ◽  
Organic And Inorganic Fertilizers

Plant height, leaf area index, number of pods per plant, and seed yield were significantly influenced by the application of organic and inorganic fertilizer combination. Plant which received inorganic fertilizer alone (T1) grew taller (97.38 cm), developed larger leaf area index (1.06) and more pods per plant (102.93), and produced higher yield (1.80 t ha1) than those subjected to T0, T3 and T4 treatments. Plots applied solely with inorganic fertilizer generated the highest net income among the different treatments used.

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