scholarly journals Systematic Optimization of Whole Plant Carbon Nitrogen Interaction (WACNI) to Support Crop Design for Greater Yield

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.

2020 ◽  
Author(s):  
Tian-Gen Chang ◽  
Xin-Guang Zhu

ABSTRACTCrop yield is co-determined by photosynthetic potential of source organs, and pattern of partitioning and utilization of photosynthate among sink organs. Although correlation between source sink relation and grain yield has been studied for a century, a quantitative understanding of the metabolic basis of source sink interaction is lacking. Here, we describe a mechanistic model of Whole plAnt Carbon Nitrogen Interaction (WACNI), enabling precise prediction of plant physiological dynamics during the grain filling period by reconstructing primary metabolic and biophysical processes in source, sink and transport organs. To get a specified range of parameters required to quantify the enzymatic kinetics in rice, a data set is established based on case studies and natural variation surveys in the past decades. The parameterized model quantitatively predicts plant carbon and nitrogen budget upon various scenarios, ranging from field management and environmental perturbation to genetic manipulation, thus enabling dissection of the precise role of such alterations in crop yield formation. Model simulations further reveal the importance of re-allocating activity of carbon/nitrogen metabolic and transport processes for a plant physiological ideotype to maximize crop yield.


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.


2007 ◽  
Vol 145 (1) ◽  
pp. 3-16 ◽  
Author(s):  
M. REYNOLDS ◽  
D. CALDERINI ◽  
A. CONDON ◽  
M. VARGAS

For many years yield improvement reported in wheat was associated with increased dry matter partitioning to grain, but more recently increases in above-ground biomass have indicated a different mechanism for achieving yield potential. The most likely way of increasing crop biomass is by improving radiation use efficiency (RUE); however there is evidence that sink strength is still a critical yield limiting factor in wheat, suggesting that improving the balance between source and sink (source/sink (SS)) is currently the most promising approach for increasing yield, biomass, and RUE. Experiments were designed to establish a more definitive link of SS traits with yield, biomass and RUE in high-yield environments using progeny deriving from parents contrasting in some of those traits. The SS traits formed three main groups relating to (i) phenological pattern of the crop, (ii) assimilation capacity up until shortly after anthesis, and (iii) partitioning of assimilates to reproductive structures shortly after anthesis. The largest genetic gains in performance traits were associated with the second group; however, traits from the other groups were also identified as being genetically linked to improvement in performance parameters. Because many of these traits are interrelated, principal component analysis (PCA) multiple regression and path analysis were used to expose these relationships more clearly. The trait most consistently associated with performance traits was biomass at anthesis (BMA). The PCA indicated a fairly close association among traits within this group (i.e. assimilation-related traits) while those from the other two groups of SS traits (i.e. phenological and partitioning) appeared to have secondary but independent effects. These conclusions were partially born out by stepwise multiple regression for individual crosses where BMA was often complemented by traits from the two other groups. Taken together, the data suggest that the assimilation traits biomass in vegetative stage (BMV) and BMA have partially independent genetic effects in this germplasm and were complementary to achieving improved performance. The identification of a number of SS traits associated with yield and biomass, which both PCA and multiple regression suggest as being at least partially independent of one another, support the idea that additive gene action could be achieved by adopting a physiological trait based breeding approach where traits from different groups are combined in a single background. A second breeding intervention based on these results would be in selecting progeny for BMA and BMV using spectral reflectance approaches since those traits that lend themselves to large-scale screening. Path analysis confirmed the importance of the spike primordial stage in the genotype by environment interaction for these traits.


Plants ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1667
Author(s):  
Anton V. Buzdin ◽  
Maxim V. Patrushev ◽  
Eugene D. Sverdlov

Growing scientific evidence demonstrates unprecedented planetary-scale human impacts on the Earth’s system with a predicted threat to the existence of the terrestrial biosphere due to population increase, resource depletion, and pollution. Food systems account for 21–34% of global carbon dioxide (CO2) emissions. Over the past half-century, water and land-use changes have significantly impacted ecosystems, biogeochemical cycles, biodiversity, and climate. At the same time, food production is falling behind consumption, and global grain reserves are shrinking. Some predictions suggest that crop yields must approximately double by 2050 to adequately feed an increasing global population without a large expansion of crop area. To achieve this, “quantum-leap” improvements in crop cultivar productivity are needed within very narrow planetary boundaries of permissible environmental perturbations. Strategies for such a “quantum-leap” include mutation breeding and genetic engineering of known crop genome sequences. Synthetic biology makes it possible to synthesize DNA fragments of any desired sequence, and modern bioinformatics tools may hopefully provide an efficient way to identify targets for directed modification of selected genes responsible for known important agronomic traits. CRISPR/Cas9 is a new technology for incorporating seamless directed modifications into genomes; it is being widely investigated for its potential to enhance the efficiency of crop production. We consider the optimism associated with the new genetic technologies in terms of the complexity of most agronomic traits, especially crop yield potential (Yp) limits. We also discuss the possible directions of overcoming these limits and alternative ways of providing humanity with food without transgressing planetary boundaries. In conclusion, we support the long-debated idea that new technologies are unlikely to provide a rapidly growing population with significantly increased crop yield. Instead, we suggest that delicately balanced humane measures to limit its growth and the amount of food consumed per capita are highly desirable for the foreseeable future.


2010 ◽  
Vol 37 (7) ◽  
pp. 592 ◽  
Author(s):  
Francisco Pérez-Alfocea ◽  
Alfonso Albacete ◽  
Michel E. Ghanem ◽  
Ian C. Dodd

Salinity decreases crop yield first by reducing growth of assimilate-consuming sink organs and, second, by decreasing assimilate production in photosynthetically active source tissues. Although much work has focussed on controlling the accumulation of toxic ions (mainly Na+ and Cl–), the search for primary growth limiting factor(s) continues. The root, by sensing environmental constraints of the soil, may influence root-to-shoot signalling to control shoot growth and physiology, and ultimately agricultural productivity. Hormonal signals, such as cytokinins, ABA, the ethylene precursor 1-aminocyclopropane-1-carboxylic acid and the auxin indole-3-acetic acid may coordinate assimilate production and usage in competing sinks (biomass partitioning). Hormonal regulation of source–sink relations during the osmotic phase of salinity (independent of specific ions) affects whole-plant energy availability to prolong the maintenance of growth, root function and ion homeostasis, and could be critical to delay the accumulation of Na+ or any other ion to toxic levels. This viewpoint emphasises that simultaneously maintaining growth and delaying early leaf senescence is necessary to increase crop yield in salt-affected soils.


EDIS ◽  
2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Barry L. Tillman

FloRunTM ‘331’ peanut variety was developed by the University of Florida, Institute of Food and Agricultural Sciences, North Florida Research and Education Center near Marianna, Florida.  It was released in 2016 because it combines high yield potential with excellent disease tolerance. FloRunTM ‘331’ has a typical runner growth habit with a semi-prominent central stem and medium green foliage.  It has medium runner seed size with high oleic oil chemistry.


Author(s):  
Trương Thị Hồng Hải ◽  
Nguyễn Thị Diệu Thể ◽  
Phan Thu Thảo

In order to establish the pure line of sponge gourd containing aroma feature, we selected the desirable inbred lines by using a self-pollinating method. The present study was investigated to estimate the morphological traits and fruit quality of 6 sponge gourd inbred lines which generated at 4th generation of an aroma Luffa accession B29 under plastic house conditions. The experiment was conducted in a randomized complete block design (RCBD) with three replications, from May to November in 2016. Five plants per replication were examined. The results indicated that all inbred lines could grow well under plastic house conditions. The inbred lines had the same stem and leaf traits; whereas fruit shape, skin color and fruit veins color were observed differently among inbred lines. The aromatic trait was retained in all inbred lines either before or after cooking. The high yield was found in lines BC1 and BC2 by 10.1 tons/ha and 10.7 tons/ha, respectively. These inbred lines should be examined in open field condition to confirm the presence of aromatic trait and yield potential before completion of the procedures for recognition of new Luffa varieties.  


2019 ◽  
Vol 56 (Special) ◽  
pp. 82-91 ◽  
Author(s):  
LV Subba Rao ◽  
RA Fiyaz ◽  
AK Jukanti ◽  
G Padmavathi ◽  
J Badri ◽  
...  

India is the second largest producer of rice in the world and it is the most important staple food grain. All India Coordinated Rice Improvement Project (AICRIP) was initiated with objective of conducting multi-location trials to identify suitable genotypes of high yield potential along with appropriate crop management practices. Since its inception AICRIP contributed significantly in meeting the growing demand both within and outside India. Significant progress has been achieved through AICRIP in terms of varietal release thereby increasing the crop productivity and also meeting the food and nutritional security. This paper makes a sincere effort in bringing out the significant achievements/milestones achieved under the AICRIP program and also gives a few directions for widening the areas under AICRIP.


2021 ◽  
Vol 11 (5) ◽  
pp. 2282
Author(s):  
Masudulla Khan ◽  
Azhar U. Khan ◽  
Mohd Abul Hasan ◽  
Krishna Kumar Yadav ◽  
Marina M. C. Pinto ◽  
...  

In the present era, the global need for food is increasing rapidly; nanomaterials are a useful tool for improving crop production and yield. The application of nanomaterials can improve plant growth parameters. Biotic stress is induced by many microbes in crops and causes disease and high yield loss. Every year, approximately 20–40% of crop yield is lost due to plant diseases caused by various pests and pathogens. Current plant disease or biotic stress management mainly relies on toxic fungicides and pesticides that are potentially harmful to the environment. Nanotechnology emerged as an alternative for the sustainable and eco-friendly management of biotic stress induced by pests and pathogens on crops. In this review article, we assess the role and impact of different nanoparticles in plant disease management, and this review explores the direction in which nanoparticles can be utilized for improving plant growth and crop yield.


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