scholarly journals Use of agro-climatic zones to upscale simulated crop yield potential

2013 ◽  
Vol 143 ◽  
pp. 44-55 ◽  
Author(s):  
Justin van Wart ◽  
Lenny G.J. van Bussel ◽  
Joost Wolf ◽  
Rachel Licker ◽  
Patricio Grassini ◽  
...  
Pedosphere ◽  
2019 ◽  
Vol 29 (2) ◽  
pp. 235-247 ◽  
Author(s):  
Wiqar AHMAD ◽  
Farmanullah KHAN ◽  
Zahir SHAH ◽  
Muhammad Jamal KHAN

2013 ◽  
Vol 105 (5) ◽  
pp. 1335-1344 ◽  
Author(s):  
D. B. Arnall ◽  
A. P. Mallarino ◽  
M. D. Ruark ◽  
G. E. Varvel ◽  
J. B. Solie ◽  
...  

2018 ◽  
Author(s):  
Tian-Gen Chang ◽  
Xin-Guang Zhu

AbstractOn the face of the rapid advances in genome editing technology and greatly expanded knowledge on plant genome and genes, there is a strong demand to develop an effective tool to guide designing crops for higher yields. Here we developed a highly mechanistic model of Whole plAnt Carbon Nitrogen Interaction (WACNI), which predicts crop yield based on major metabolic and biophysical processes in source, sink and transport tissues. WACNI accurately predicted the yield responses of so far reported source, sink and transport related genetic manipulations on rice grain yields. Systematic sensitivity analysis with WACNI was used to classify the source, sink and transport related molecular processes into four categories, i.e. universal yield enhancers, universal yield inhibitors, conditional yield enhancers and weak yield regulators. Simulations using WACNI further show that even without a major change in leaf photosynthetic properties, 54.6% to 73% grain yield increase can be potentially achieved by optimizing these molecular processes during the rice grain filling period while simply combining all the ‘superior’ molecular modules together cannot achieve the optimal yield level. A common macroscopic feature in all these designed high-yield lines is that they all show ‘a sustained and steady growth of grain sink’, which might be used as a generic selection criteria in high-yield rice breeding. Overall, WACNI can serve as a tool to facilitate plant source sink interaction research and guide future crops breeding by design.One sentence summaryA mechanistic model of source, sink flow model is developed and used to demonstrate that optimization of the whole plant carbon nitrogen metabolism can dramatically increase crop yield potential.


2014 ◽  
Vol 41 (9) ◽  
pp. 893 ◽  
Author(s):  
John W. Patrick ◽  
Kim Colyvas

Yield potential is the genome-encoded capacity of a crop species to generate yield in an optimal growth environment. Ninety per cent of plant biomass is derived from the photosynthetic reduction of carbon dioxide to organic carbon (photoassimilates – primarily sucrose). Thus, development of yield components (organ numbers and individual organ masses) can be limited by photoassimilate supply (photosynthesis arranged in series with phloem transport) or by their inherent capacity to utilise imported photoassimilates for growth or storage. To this end, photoassimilate supply/utilisation of crop yield has been quantitatively re-evaluated using published responses of yield components to elevated carbon dioxide concentrations across a selection of key crop species including cereal and pulse grains, fleshy fruits, tubers and sugar storing stems and tap roots. The analysis demonstrates that development of harvested organ numbers is strongly limited by photoassimilate supply. Vegetative branching and, to a lesser extent, flower/pod/fleshy fruit abortion, are the major yield components contributing to sensitivity of organ numbers to photoassimilate supply. In contrast, harvested organ size is partially dependent (eudicots), or completely independent (cereals), of photoassimilate supply. Processes limiting photoassimilate utilisation by harvested organs include membrane transport of soluble sugars and their allocation into polymeric storage products.


2016 ◽  
Vol 67 (6) ◽  
pp. 605 ◽  
Author(s):  
Vasileios Greveniotis ◽  
Vasilia A. Fasoula

Innovative approaches and new efficiencies in plant breeding are required to accelerate the progress of genetic improvement through selection. One such approach is the application of prognostic breeding, which is an integrated crop-improvement methodology that enables selection of plants for high crop yield potential by evaluating its two components: plant yield potential and stability of performance. Plant yield and stability are assessed concurrently in each generation by utilising the plant prognostic equation. The genetic material used for this study was 2350 F2 plants (C0) of the commercial maize hybrid Costanza. The study presents the results of the application of prognostic breeding for 6 years in two contrasting environments (A and B), starting from C0 and ending in C5. It utilises ultra-high selection pressures (1.5% to 0.5%) to isolate superior lines with crop yield comparable to Costanza, and estimates the annual genetic gain accomplished through application of this selection strategy. Application of prognostic breeding led to the isolation of superior lines whose productivity was comparable to Costanza. The productivity gap between Costanza and the best selection was reduced from 87% (C0) to 0.5% (C5) in trial 1 (environment A), from 87% (C0) to 2% (C5) in trial 2 (environment B) and from 70% (C0) to 1% (C3) in trial 3 (environment B). Genetic gain was much higher (up to 50%) in the early cycles C0–C2 of prognostic breeding and smaller in cycles C3–C5. The best lines selected were evaluated in randomised complete block trials across both environments and 2 years. Across years, the top two lines in environments A and B averaged 87% and 91% of the Costanza yield, respectively, and they had higher prolificacy (greater number of ears per plant) than Costanza. Across all cycles, the average annual genetic gain ranged from 23% to 36% in the different trials, providing evidence that selection efficiency can be significantly maximised by using this breeding strategy.


Agronomy ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. 196 ◽  
Author(s):  
Izaias Pinheiro Lisboa ◽  
Júnior Melo Damian ◽  
Maurício Roberto Cherubin ◽  
Pedro Silva Barros ◽  
Peterson Ricardo Fiorio ◽  
...  

The total or partial removal of sugarcane (Saccharum spp. L.) straw for bioenergy production may deplete soil quality and consequently affect negatively crop yield. Plants with lower yield potential may present lower concentration of leaf-tissue nutrients, which in turn changes light reflectance of canopy in different wavelengths. Therefore, vegetation indexes, such as the normalized difference vegetation index (NDVI) associated with concentration of leaf-tissue nutrients could be a useful tool for monitoring potential sugarcane yield changes under straw management. Two sites in São Paulo state, Brazil were utilized to evaluate the potential of NDVI for monitoring sugarcane yield changes imposed by different straw removal rates. The treatments were established with 0%, 25%, 50%, and 100% straw removal. The data used for the NDVI calculation was obtained using satellite images (CBERS-4) and hyperspectral sensor (FieldSpec Spectroradiometer, Malvern Panalytical, Almelo, Netherlands). Besides sugarcane yield, the concentration of the leaf-tissue nutrients (N, P, K, Ca, and S) were also determined. The NDVI efficiently predicted sugarcane yield under different rates of straw removal, with the highest performance achieved with NDVI derived from satellite images than hyperspectral sensor. In addition, leaf-tissue N and P concentrations were also important parameters to compose the prediction models of sugarcane yield. A prediction model approach based on data of NDVI and leaf-tissue nutrient concentrations may help the Brazilian sugarcane sector to monitor crop yield changes in areas intensively managed for bioenergy production.


2012 ◽  
Author(s):  
Αναστασία Καργιωτίδου

During this work the genetic variation within a cultivated lentil landrace wasexploited through mass and pedigree honeycomb selection. The aim was toinvestigate the efficiency of the honeycomb selection method in the management ofthe planting stock relative to its load in seed borne viruses, the ability to select forvirus-free lines and possibly isolate resistant/tolerant to viruses lines, as well as theprospects of sowing monogenotype or polygenotype lentil varieties under low inputconditions.A non-replicated (NR-0) honeycomb experiment was established in the region ofOrestiada, Greece, during the 2006-2007 season, at the low density of 1,2 plants/m2.Fifteen plants were selected for high grain yield to form as many 1st generation lines.Additionally, the application of five different intensities of selection led to five 1stgeneration populations. In 2007-08, progeny evaluation was conducted in an R-21experiment and three lines were isolated based on the genotype crop yield potential,which is defined by the progeny yield potential index and coefficient of homeostasis.From these superior three lines we selected the nine plants showing the highest cropyield potential (formula A) and the three plants with the highest absolute yield, whilethree more high yielding plants were selected from other lines with low crop yieldpotential, thus leading to 15 2nd generation lines. In addition, five different intensitiesof selection were applied to form an equal number of 1st generation populations. In2008-09, progeny evaluation of the 2nd generation lines was conducted in an R-21experiment. At the same time, the 1st generation selections were evaluated in densestand conditions according to the randomized complete-block (RCB) design at anearby field. Based on coefficient of yield within the ring 11 plants were selected thatled to 11 3rd generation lines and one new population consisting of 2nd generationsline seeds. In 2010-11, progeny evaluation of the 3rd generation selections wasconducted in an R-13 experiment, while nearby 2nd generation selections wereevaluated in dense stand conditions, in a RCB experiment.During the first year of experimentation, the severe infection by seed-borneviruses resulted in low yield as well as unsatisfactory results for the rest of theparameters calculated. Several plants in the field exhibited viral-disease-like symptoms and a vast number of them died. This didn’t allow the application of thebreeding selection criteria, so that the selection was only based on the absolute plantyield. ELISA tests detected only the PSbMV in the original population.The selection of symptomless plants from the original population in the absenceof competition proved an efficient method for improving the sanitary status of theplanting stock, since the 2nd generation populations yielded higher compared to theoriginal population by 16% in the absence of competition and 5,7% in farming densitycondition. Moreover, a significant positive linear correlation was found between thenumber of the selected plants and the number of them found positive for the BYMV.The 1st generation lines 8, 2 and 15 were selected in the absence of competitiondue to their high crop yield potential and were used to derive the 2nd generation lines.Lines with low coefficient of homeostasis were positive for virus presence. On theother hand, line 8 and the lines deriving from this had high coefficient of homeostasisand escaped virus infection. The coefficient of homeostasis seems to be an effectivecriterion for revealing a putative presence of seed borne virus infection in the linesunder evaluation. The importance of this criterion is moreover demonstrated by theselection of line 15 according to its value that later produced promising 2nd and 3rdgeneration lines.Four 2nd generation lines deriving from line 8 yielded significantly higher than theoriginal population in the absence of competition by 81 to 139%. The application ofthe ECYP as line selection criterion proved efficient for the identification of highyielding and free from virus infection genotypes. In contrast, lines selected only fortheir high yield regardless of their crop yield potential failed to exhibit stability ofperformance.The 3rd generation selections had low CV most probably due to the improvementof the planting material sanitary status, since seed-borne viruses were successfullyremoved and possibly tolerant/resistant to viral diseases genotypes resulted in lowpressure from virus infections. The crop yield potential recorded in this generationcompared to the progress observed in the previous generations indicates that geneticstability has been achieved.The lines which were distinguished due to crop yield potential (ECYP), respondedpositively to the selection and progeny behavior showed that the equation can be a powerful tool for creating inbred lines that are characterized by stability and highproductivity. Eventually, the application of the honeycomb method selection resultedin lines with satisfactory performance under farmer’s conditions, since three 2ndgeneration lines had higher yield compared to the original population by 22 to 24%.Under typical plant density conditions, the 1st generation heterogenouspopulations showed higher yield than the original population compared to the linesby 7,2 and 5,6% respectively. In contrast, the 2nd generation lines yielded higher thanthe populations by 9,4 and 5,7% compared to the original population respectively.Thus, the answer to the question whether monogenotype or polygenotype varietiesshould be recommended for cultivation requires further investigation.


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