The growth of vining peas: I. The effect of time of sowing

1968 ◽  
Vol 70 (3) ◽  
pp. 393-402 ◽  
Author(s):  
G. M. Milbourn ◽  
R. C. Hardwick
Keyword(s):  
Growth Rate ◽  
Leaf Area ◽  
Growth Analysis ◽  
Apical Meristem ◽  
Area Index ◽  
Apical Bud ◽  
Rate Of Increase ◽  
Morphogenetic Factors ◽  
The Relationship ◽  
Pod Growth

SUMMARYYield and growth analysis have been applied to the results of an experiment comparing early and late sown peas. Yield analysis showed that in this experiment late sown peas had:(i) fewer podding nodes per main stem,(ii) fewer pods per podding node, and(iii) a slower rate of increase in pod weight.The physiological origins of these differences are discussed.The first component is determined by the stage at which node production is terminated by the death of the apical bud.The second is determined by morphogenetic factors at the apical meristem early in in the life of the plant, when (in the variety DSP) either a single or a double flowered raceme is initiated, and also during the harvesting period when some pods are lost from the lower-most flowering nodes.The differences in the third component, the rate of increase in pod weight, could not be explained by conventional growth analysis. Pod growth rate was not a simple function of leaf area index.It is suggested that the relationship between leaf area and pod growth rate is complicated by the existence of other sources of materials for pod growth such as stored products in the roots and stems, and photosynthesis by the fruit itself.

scholarly journals Growth Analysis of Watermelon Plants Grown with Mulches and Rowcovers

1995 ◽  
Vol 120 (6) ◽  
pp. 1001-1009 ◽  
Author(s):  
Nader Soltani ◽  
J. LaMar Anderson ◽  
Alvin R. Hamson
Keyword(s):  
Growth Rate ◽  
Leaf Area ◽  
Growth Analysis ◽  
Citrullus Lanatus ◽  
Total Yield ◽  
Carbon Dioxide Concentration ◽  
Male Flower ◽  
Female Flower ◽  
Plastic Mulch ◽  
Area Index

`Crimson Sweet' watermelon [Citrullus lanatus (Thunb.) Matsum. & Nakai] plants were grown with various mulches and rowcovers and analyzed for relative growth rate (RGR), net assimilation rate (NAR), specific leaf area (SLA), leaf area index (LAI), and crop growth rate (CGR). Spunbonded polyester fabric (SB-PF) and perforated polyethylene film (PCP) rowcovers generally showed greater mean RGR, SLA and CGR than spunbonded polypropylene polyamide net (SB-PP), black plus clear combination plastic mulch and black plastic mulch alone. Plants on mulches and under rowcovers showed significant increases in RGR, NAR, and SLA over plants grown in bare soil. Carbon dioxide concentration inside the transplanting mulch holes was nearly twice the ambient CO, concentration. Growth analysis of sampled watermelon plants during early stages of development under various treatments was predictive of crop yield. Plants under SB-PF and PCP rowcovers produced the earliest fruit and the greatest total yield. An asymmetrical curvilinear model for watermelon growth and development based on cardinal temperatures was developed. The model uses hourly averaged temperatures to predict growth and phenological development of `Crimson Sweet' watermelon plants grown with and without rowcovers. Early vegetative growth correlated well with accumulated heat units. Results indicate a consistent heat unit requirement for the `Crimson Sweet' watermelon plants to reach first male flower, first female flower and first harvest in uncovered plants and plants under rowcovers. Greater variability was observed in predicting date of first harvest than first bloom.

scholarly journals Plant Growth Analysis of Jack Been (Canavalia ensiformis L.) at Different Spacing to Determine the Application Time of Cutback Technology

2019 ◽  
Vol 4 (1) ◽  
pp. 1-7
Author(s):  
N. Nurmuliana ◽  
Muh. Akhsan Akib
Keyword(s):  
Growth Rate ◽  
Leaf Area ◽  
Growth Analysis ◽  
Assimilation Rate ◽  
Area Index ◽  
Relative Growth ◽  
Jack Bean ◽  
Canavalia Ensiformis ◽  
Bean Plants ◽  
Net Assimilation

AbstractThe growth of jack bean (Canavalia ensiformis L) is affected by genetic and environmental factors.  One of the environmental factors involved is growing space. Growing space related to each plant of areas occupied is stated by the distance between plants. A Research has been conducted as long three months in dry season with average daily temperature of 25 to 31OC on altitude of 25 to 500 meter, to determine the timing of the application of cutback technology based on an analysis of growth of jack bean plants (Canavalia ensiformis L) in different growth spaces.  The research was conducted in the trial form using a randomized block design. Variables of plants growth analysis observed is leaf area index (LAI), leaf area is computed by gravimetric method; net assimilation rate (NAR), and relative growth rate (RGR) is determined based on the dry weight of plants; in all three rooms grew, namely 75 cm x 100 cm (control), 75 cm × 75 cm and 75 cm × 50 cm, each repeated three times. The result shows that the trend of leaf area index increased at net assimilation rate (g-1.cm-2.week-1) and relative growth rate (g-1.g-1.minggu-1) decreasing at the time the plant to the age 8 weeks after planting.  The best time for the application of reduction technology to jack bean plants (Canavalia ensiformis L) in all tested growing spaces, is recommended when plants are between 7 and 8 weeks after planting

scholarly journals Growth analysis of winter wheat cultivars as affected by nitrogen fertilization / Wachstumsanalyse von Winterweizensorten in Abhängigkeit von Stickstoffdüngung

2017 ◽  
Vol 68 (1) ◽  
pp. 57-70
Author(s):  
Eszter Sugár ◽  
Zoltán Berzsenyi ◽  
Péter Bónis ◽  
Tamás Árendás
Keyword(s):  
Growth Rate ◽  
Leaf Area ◽  
Nitrogen Fertilization ◽  
Growth Analysis ◽  
Management Practices ◽  
Growth Parameters ◽  
N Fertilization ◽  
Growth Potential ◽  
Individual Plant ◽  
Area Index

Summary Growth analysis helps explain the differences in yield and growth potential between cultivars in response to management practices and environmental conditions. The aim of the research was: (i) to investigate the effect of nitrogen fertilization on the growth and growth parameters of different wheat (Triticum aestivum L.) cultivars and (ii) to study the relationship between yield and growth parameters at the individual plant and plant stand level. In the two-factorial, split-plot experiment, the main plot was the nitrogen (N) treatment and the sub-plot was the cultivar. In response to N fertilization, the values of growth rate parameters increased up to the N160 treatment. The mean values of crop growth rate (g m-2 day-1) in the treatments were as follows: N0: 10.4, N80: 15.4, N160: 17.2 and N240: 16.3. The leaf area index, leaf area duration and especially the duration of the flag-leaf gave a good reflection of the effect of N fertilization. Multiple regression analysis demonstrated the significant effect of growth rates, size and duration of leaf area, biomass distribution and yield components on the yield. The results showed that understanding the growth of plants is important for optimizing management decisions.

Growth analysis of poppies (Papaver somniferum L.)

1982 ◽  
Vol 33 (2) ◽  
pp. 233 ◽  
Author(s):  
B Chung
Keyword(s):  
Growth Rate ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Growth Analysis ◽  
Crop Growth ◽  
Maximum Difference ◽  
Area Index ◽  
Crop Growth Rate ◽  
Plant Yield ◽  
Total Plant

A growth analysis study of the effects of two contrasting environments on the yield of field grown poppies (Papaver somnifevum L.) was undertaken using regression techniques. The change in total plant yield during the 1977-78 season was found to be adequately fitted by a cubic polynomial equation. In contrast, the change in total plant yield during the 1976-77 season and the development of leaf area index in both seasons were found to be adequately fitted by quartic polynomial equations. The total plant yield in the 1977-78 season was considerably higher than that in the 1976-77 season from the beginning of December to dry maturity with a maximum difference of 2 200 kg/ha on 15 January. This yield difference can be attributed to the higher crop growth rate in the 1977-78 season from 30 November to 18 January with a maximum difference of 12 g/m2/day on 30 December. Leaf area index was considered to be more important than net assimilation rate in influencing the crop growth rate up to 20 December. The differences in leaf area between the two seasons could be attributed to the climatic conditions. Under Tasmanian conditions, poppy yields could be expected to be reasonably stable from year to year, provided that the crop is encouraged to grow at its optimum during the whole season.

scholarly journals Growth Analysis of Quinoa (Chenopodium quinoa Willd.) in Response to Fertilization and Soil Tillage

2019 ◽  
Vol 47 (4) ◽  
pp. 1025-1036 ◽  
Author(s):  
Ioanna KAKABOUKI ◽  
Ioannis E. ROUSSIS ◽  
Panagiota PAPASTYLIANOU ◽  
Panagiotis KANATAS ◽  
Dimitra HELA ◽  
...  
Keyword(s):  
Growth Rate ◽  
Leaf Area ◽  
Growth Analysis ◽  
Growth Parameters ◽  
Conventional Tillage ◽  
Crop Growth ◽  
Growth And Yield ◽  
Soil Tillage ◽  
Digital Object Identifier ◽  
Area Index

Growth analysis is an appropriate method for plant response to various environmental and cultural conditions during plant life. A 2-year experiment was conducted to evaluate the effect of soil tillage and fertilization on the growth and growth parameters of quinoa crop and to determine the association between yield and growth characteristics at both the single plant and crop stand level. The experiment was laid out in a split-plot design with two replicates, two main plots [conventional (CT) and minimum tillage (MT)] and four sub-plots [fertilization treatments: untreated, inorganic fertilization of 100 (N1) and 200 kg N ha-1 (N2) and sheep manure]. The highest absolute growth rate (AGR) and crop growth rate (CGR) values were recorded between the middle of vegetative growth stage and the beginning of anthesis (50-75 DAS) under conventional tillage coupled with manure (AGR: 0.4577 g day-1, CGR: 11.44 g m-2 day-1) and with N2 treatment (AGR: 0.4521 g day-1, CGR: 11.31 g m-2 day-1). Concerning specific leaf area (SLA), the highest value (150.58 cm2 g-1) was found at 75 DAS in N2 treatment. Leaf area index (LAI) were positively affected by soil tillage and fertilization with greatest values found under conventional tillage coupled with N2 treatment (5.110 m2 m-2). The highest seed yield was observed in N2 treatment (2488 and 2388 kg ha-1 under CT and MT, respectively). As a conclusion, the cultivation under conventional tillage and the increasing levels of applied nitrogen up to 200 kg N ha-1 increases crop growth and yield.   ********* In press - Online First. Article has been peer reviewed, accepted for publication and published online without pagination. It will receive pagination when the issue will be ready for publishing as a complete number (Volume 47, Issue 4, 2019). The article is searchable and citable by Digital Object Identifier (DOI). DOI link will become active after the article will be included in the complete issue. *********

On the relationship of NDVI with leaf area index in a deciduous forest site

2005 ◽  
Vol 94 (2) ◽  
pp. 244-255 ◽  
Author(s):  
Quan Wang ◽  
Samuel Adiku ◽  
John Tenhunen ◽  
André Granier
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Deciduous Forest ◽  
Forest Site ◽  
Area Index ◽  
Relationship Of ◽  
The Relationship

scholarly journals Growth and yield of wheat at different dates of sowing under chrland ecosystem of Bangladesh

2017 ◽  
Vol 14 (2) ◽  
pp. 147-154 ◽  
Author(s):  
MM Kamrozzaman ◽  
MAH Khan ◽  
S Ahmed ◽  
N Sultana
Keyword(s):  
Growth Rate ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Dry Matter ◽  
Block Design ◽  
Grain Filling ◽  
Crop Growth ◽  
Growth And Yield ◽  
Area Index ◽  
Crop Growth Rate

An experiment was conducted at Sadipur charland under Farming System Research and Development Site, Hatgobindapur, Faridpur, during rabi season of 2012-13 and 2013-14 to study the growth and yield performance of cv. BARI Gom-24 as affected by different dates of sowing under Agro-ecological Zone-12 (AEZ-12) of Bangladesh. The experiment was laid out in randomized complete block design with six replications, comprising five different dates of sowing viz. November 5, November 15, November 25, December 5 and December 15. Results reveal that the tallest plant, leaf area index, total dry matter, and crop growth rate were observed in November 25 sown crop and leaf area index, total dry matter and crop growth rate were higher at booting, grain filling, and tillering stages of the crop. Maximum effective tillers hill-1 (3.49), spikes m-2, (311), number of grains spike-1 (42.20) and 1000-grain weight (52.10 g) were produced by November 25 sown crop exhibited the highest grain (4.30 t ha-1) and straw yield (4.94 t ha-1) as well as harvest index (46.88%) of the crop. Lowest performance was observed both in early (November 5) and late sown crop (December 15). The overall results indicated that November 25 sown crop showed better performance in respect of growth and yield of wheat under charland ecosystem of Bangladesh.J. Bangladesh Agril. Univ. 14(2): 147-154, December 2016

scholarly journals Growth Analysis of Wheat Using Machine Vision: Opportunities and Challenges

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6501
Author(s):  
Mohammad Ajlouni ◽  
Audrey Kruse ◽  
Jorge A. Condori-Apfata ◽  
Maria Valderrama Valencia ◽  
Chris Hoagland ◽  
...  
Keyword(s):  
Growth Rate ◽  
Machine Vision ◽  
Leaf Area ◽  
Relative Growth Rate ◽  
Growth Analysis ◽  
Growth Parameters ◽  
Dry Weight ◽  
Projected Area ◽  
Relative Growth ◽  
Leaf Dry Weight

Crop growth analysis is used for the assessment of crop yield potential and stress tolerance. Capturing continuous plant growth has been a goal since the early 20th century; however, this requires a large number of replicates and multiple destructive measurements. The use of machine vision techniques holds promise as a fast, reliable, and non-destructive method to analyze crop growth based on surrogates for plant traits and growth parameters. We used machine vision to infer plant size along with destructive measurements at multiple time points to analyze growth parameters of spring wheat genotypes. We measured side-projected area by machine vision and RGB imaging. Three traits, i.e., biomass (BIO), leaf dry weight (LDW), and leaf area (LA), were measured using low-throughput techniques. However, RGB imaging was used to produce side projected area (SPA) as the high throughput trait. Significant effects of time point and genotype on BIO, LDW, LA, and SPA were observed. SPA was a robust predictor of leaf area, leaf dry weight, and biomass. Relative growth rate estimated using SPA was a robust predictor of the relative growth rate measured using biomass and leaf dry weight. Large numbers of entries can be assessed by this method for genetic mapping projects to produce a continuous growth curve with fewer replicates.

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