scholarly journals Morphological studies on the regularity of shoots development in rice plants. I. Different growth types indicated by total leaf number on the main stems in the same plot.

1987 ◽  
Vol 56 (3) ◽  
pp. 313-321 ◽  
Author(s):  
Katsuya MATSUBA
Keyword(s):  
Leaf Number ◽  
Rice Plants ◽  
Morphological Studies ◽  
Total Leaf ◽  
Growth Types

scholarly journals Genetic variance of sunflower yield components - Heliantus annuus L.

Genetika ◽  
2003 ◽  
Vol 35 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Nada Hladni ◽  
Dragan Skoric ◽  
Marija Kraljevic-Balalic
Keyword(s):  
Leaf Area ◽  
Plant Height ◽  
Leaf Number ◽  
Total Leaf Area ◽  
Gene Effects ◽  
Partial Dominance ◽  
Mean Values ◽  
Total Leaf ◽  
Additive Gene ◽  
Mode Of Inheritance

The main goals of sunflower breeding in Yugoslavia and abroad are increased seed yield and oil content per unit area and increased resistance to diseases, insects and stress conditions via an optimization of plant architecture. In order to determine the mode of inheritance, gene effects and correlations of total leaf number per plant, total leaf area and plant height, six genetically divergent inbred lines of sunflower were subjected to half diallel crosses. Significant differences in mean values of all the traits were found in the F1 and F2 generations. Additive gene effects were more important in the inheritance of total leaf number per plant and plant height, while in the case of total leaf area per plant the nonadditive ones were more important looking at all the combinations in the F1 and F2 generations. The average degree of dominance (Hi/D)1/2 was lower than one for total leaf number per plant and plant height, so the mode of inheritance was partial dominance, while with total leaf area the value was higher than one, indicating super dominance as the mode of inheritance. Significant positive correlation was found: between total leaf area per plant and total leaf number per plant (0.285*) and plant height (0.278*). The results of the study are of importance for further sunflower breeding work.

scholarly journals A nondestructive method for estimating the total green leaf area of individual rice plants using multi-angle color images

2015 ◽  
Vol 08 (02) ◽  
pp. 1550002 ◽  
Author(s):  
Ni Jiang ◽  
Wanneng Yang ◽  
Lingfeng Duan ◽  
Guoxing Chen ◽  
Wei Fang ◽  
...  
Keyword(s):  
Leaf Area ◽  
Nondestructive Method ◽  
Color Images ◽  
Green Leaf ◽  
Side View ◽  
Total Leaf Area ◽  
Projected Area ◽  
Rice Plants ◽  
Total Leaf ◽  
Green Leaf Area

Total green leaf area (GLA) is an important trait for agronomic studies. However, existing methods for estimating the GLA of individual rice plants are destructive and labor-intensive. A nondestructive method for estimating the total GLA of individual rice plants based on multi-angle color images is presented. Using projected areas of the plant in images, linear, quadratic, exponential and power regression models for estimating total GLA were evaluated. Tests demonstrated that the side-view projected area had a stronger relationship with the actual total leaf area than the top-projected area. And power models fit better than other models. In addition, the use of multiple side-view images was an efficient method for reducing the estimation error. The inclusion of the top-view projected area as a second predictor provided only a slight improvement of the total leaf area estimation. When the projected areas from multi-angle images were used, the estimated leaf area (ELA) using the power model and the actual leaf area had a high correlation coefficient (R2 > 0.98), and the mean absolute percentage error (MAPE) was about 6%. The method was capable of estimating the total leaf area in a nondestructive, accurate and efficient manner, and it may be used for monitoring rice plant growth.

scholarly journals Flag Leaf Number Determination of Secondary and Tertiary Tillers and Heading Characteristics of Rice Plants.

1991 ◽  
Vol 60 (3) ◽  
pp. 434-440
Author(s):  
Akio MATSUZAKI ◽  
Tomomi NAKAMOTO ◽  
Hiroyasu MACHIDA
Keyword(s):  
Flag Leaf ◽  
Leaf Number ◽  
Rice Plants

scholarly journals Tanggap Pertumbuhan Bibit Kopi Robusta (Coffea Robusta L.) Terhadap Berbagai Media Tanam Dan Frekuensi Penyiraman

1970 ◽  
Vol 5 (1) ◽  
Author(s):  
Lia Karlina Br Sembiring ◽  
Rosita Sipayung ◽  
Irsal
Keyword(s):  
Leaf Area ◽  
Plant Height ◽  
Rice Husk ◽  
Dry Weight ◽  
Stem Diameter ◽  
Leaf Number ◽  
Root Weight ◽  
Total Leaf Area ◽  
Total Leaf ◽  
Fresh Root

Massive breeding is often the case with the availability of the amount of water that can be stored on the media. The aim of this research is to know the influence of media and the frequency of watering on the growth of robusta coffee seedlings and to find the best media and optimum watering frequency. This experiment was conducted at the Faculty of Agriculture, University of Sumatera Utara, Medan from June to September 2017. The experimental method used was Factorial Randomized Block Design with 2 treatment factors, ie 1: planting medium ie, topsoil ; topsoil: sand (2: 1); topsoil: rice husk (2: 1), topsoil: charcoal husk (2: 1) and factor 2: watering frequency ie, watered once a day; watered every 4 days; watered 7 days and watered once every 10 days. The variable was plant height, stem diameter, total leaf number, total leaf area, fresh crown weight, canopy dry weight, fresh root weight, root dry weight, longest root, and canopy and root ratio. The results showed that planting media treatment had a significant effect on plant height variables, stem diameter increase, leaf number, total leaf area, fresh crown weight, canopy dry weight, fresh root weight, root dry weight, and root canopy ratio. The best treatment of planting medium was found in topsoil treatment: rice husk (2: 1). The treatment of watering frequency had a significant effect on the stem diameter 2 - 12 of the week after planting move observation variable, total leaf area, fresh crown weight, dry crown weight, fresh root weight, and dry weight of roots. The best treatment frequency of watering hose is watering every 4 days. The interaction between the two treatments had a significant effect on the diameter of the stem diameter variable, the total leaf area and the fresh weight of the canopy.

Improved methods for predicting individual leaf area and leaf senescence in maize (Zea mays)

1998 ◽  
Vol 49 (2) ◽  
pp. 249 ◽  
Author(s):  
C. J. Birch ◽  
G. L. Hammer ◽  
K. G. Rickert
Keyword(s):  
Leaf Area ◽  
Leaf Senescence ◽  
Leaf Length ◽  
Thermal Time ◽  
Leaf Number ◽  
Area Index ◽  
Plant Leaf ◽  
Individual Leaf ◽  
Total Leaf ◽  
Maximum Temperatures

The ability to predict leaf area and leaf area index is crucial in crop simulation models that predict crop growth and yield. Previous studies have shown existing methods of predicting leaf area to be inadequate when applied to a broad range of cultivars with different numbers of leaves. The objectives of the study were to (i) develop generalised methods of modelling individual and total plant leaf area, and leaf senescence, that do not require constants that are specific to environments and/or genotypes, (ii) re-examine the base, optimum, and maximum temperatures for calculation of thermal time for leaf senescence, and (iii) assess the method of calculation of individual leaf area from leaf length and leaf width in experimental work. Five cultivars of maize differing widely in maturity and adaptation were planted in October 1994 in south-eastern Queensland, and grown under non-limiting conditions of water and plant nutrient supplies. Additional data for maize plants with low total leaf number (12-17) grown at Katumani Research Centre, Kenya, were included to extend the range in the total leaf number per plant. The equation for the modified (slightly skewed) bell curve could be generalised for modelling individual leaf area, as all coefficients in it were related to total leaf number. Use of coefficients for individual genotypes can be avoided, and individual and total plant leaf area can be calculated from total leaf number. A single, logistic equation, relying on maximum plant leaf area and thermal time from emergence, was developed to predict leaf senescence. The base, optimum, and maximum temperatures for calculation of thermal time for leaf senescence were 8, 34, and 40ºC, and apply for the whole crop-cycle when used in modelling of leaf senescence. Thus, the modelling of leaf production and senescence is simplified, improved, and generalised. Consequently, the modelling of leaf area index (LAI) and variables that rely on LAI will be improved. For experimental purposes, we found that the calculation of leaf area from leaf length and leaf width remains appropriate, though the relationship differed slightly from previously published equations.

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