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Biofortification: Future challenges for a newly emerging technology to improve nutrition security sustainably by Bouis, Howarth E., Foley, Jennifer, Lividini, Keith, Jumrani, Jaya, Reinke, Russell, Van Der Straeten, Dominique, Zagado, Ronan, Boy, Erick, Brown, Lynn R., Mudyahoto, Bho, Alioma, Richard, Hussain, Munawar, Pfeiffer, Wolfgang H.

“…To reach a higher trajectory, the impacts of biofortification can be multiplied several-fold using genetic engineering and other advanced crop development techniques to combine multiple-nutrient densities with climate-smart traits.…”
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Variation among cassava (Manihot esculenta Crantz) genotypes for storage root yield, yield components and response to cassava mosaic disease at the advanced breeding stage by Mahamane, A.O., Olasanmi, B., Udemba, I.O., Mbanjo, E.G.N.

“…There were highly significant (P < 0.001) variations among the cassava genotypes for yield-related traits, but no genetic variation was reported for fresh and dry root yields. …”
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Single- and multi-trait genomic prediction and genome-wide association analysis of grain yield and micronutrient-related traits in ICARDA wheat under drought environment by Tadesse, Wuletaw, Zakaria, EL Gataa, Rachdad, Fatima Ezzahra, El-Baouchi, Adil, Kehel, Zakaria, Alemu, Admas

“…In this study, a genome-wide association study (GWAS) and single- and multi-trait-based genomic prediction (GP) analysis was conducted using a set of 252 elite wheat genotypes from the International Center for Agricultural Research in Dry Areas (ICARDA). …”
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Mapping seedling and adult plant leaf rust resistance genes in the durum wheat cultivar Strongfield and other Triticum turgidum lines by Bokore, Firdissa E., Boyle, Kerry, Ruan, Yuefeng, McCartney, Curt, Hiebert, Colin W., Knox, Ron, Xiangyu Pei, Reimer, Elsa, Ammar, Karim, Wentao Zhang, Fobert, Pierre, Cuthbert, Richard D., Berraies, Samia, McCallum, Brent D.

“…This is the first report of QLr-Spa-3A and Lr46/Yr29 as key components of genetic resistance in Canadian durum wheat. KASP markers were developed to detect QLr-Spa-3A for use in marker-assisted leaf rust resistance breeding. …”
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Genomic resources in plant breeding for sustainable agriculture by Thudi, Mahendar, Palakurthi, Ramesh, Schnable, James C., Chitikineni, Annapurna, Dreisigacker, Susanne, Mace, Emma, Srivastava, Rakesh K., Satyavathi, C. Tara, Odeny, Damaris, Tiwari, Vijay K., Lam, Hon-Ming, Hong, Yan Bin, Singh, Vikas K., Li, Guowei, Xu, Yunbi, Chen, Xiaoping, Kaila, Sanjay, Nguyen, Henry, Sivasankar, Sobhana, Jackson, Scott A., Close, Timothy J., Shubo, Wan, Varshney, Rajeev K.

“…The overall goal is to accelerate genetic gains and deliver climate resilient and high nutrition crop varieties for sustainable agriculture.…”
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Traditional agro-ecosystems in Southern Philippines by Zapico, Florence, Hernandez, Jose, Borromeo, Teresita, McNally, Kenneth, Dizon, Josefina, Fernando, Edwino

“…Consequently, food insecurity, cultural and genetic erosion and biodiversity losses have resulted in lowered Sarangani agro-ecosystem resilience. …”
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Increasing flooding tolerance in rice: combining tolerance of submergence and of stagnant flooding by Kato, Yoichiro, Collard, Bertrand C. Y., Septiningsih, Endang M., Ismail, Abdelbagi M.

“…Our results will support genetic improvement of Sub1 varieties for stagnant flooding tolerance.…”
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Identification of genomic region(s) responsible for high iron and zinc content in rice by Dixit, Shilpi, Singh, Uma Maheshwar, Abbai, Ragavendran, Ram, T., Singh, Vikas Kumar, Paul, Amitava, Virk, P.S., Kumar, Arvind

“…Genotyping of mapping population with 108 SSR markers resulted in a genetic map of 2317.5 cM with an average marker distance of 21.5 cM. …”
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Genome Wide Association mapping of grain and straw biomass traits in the rice Bengal and Assam Aus Panel (BAAP) grown under alternate wetting and drying and permanently flooded irr... by Norton, Gareth J., Travis, Anthony J., Douglas, Alex, Fairley, Susan, Alves, Eduardo De Paiva, Ruang-areerate, Panthita, Naredo, Ma. Elizabeth B., McNally, Kenneth L., Hossain, Mahmud, Islam, Md. Rafiqul, Price, Adam H.

“…To meet this demand it is essential that the genetic diversity within rice is fully utilised. The aus subpopulation is considered an underappreciated resource within that diversity. …”
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Yield traits and associated marker segregation in elite introgression lines derived from O. sativa × O. nivara by Haritha, G., Swamy, B.P.M., Naik, M.L., Jyothi, B., Divya, B., Malathi, S., Sarla, N.

“…Introgression lines (ILs) derived from interspecific crosses are a source of new genetic variability. A total of 55 ILs derived from two crosses Swarna × O. nivara IRGC81848 (population A) and Swarna × O. nivara IRGC81832 (population B) were characterized for yield and yield-related traits/QTLs. …”
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Combining drought and submergence tolerance in rice: marker-assisted breeding and QTL combination effects by Dixit, Shalabh, Singh, Anshuman, Sandhu, Nitika, Bhandari, Aditi, Vikram, Prashant, Kumar, Arvind

“…These lines can also serve as valuable genetic material to be used for further breeding of high-yielding, drought- and submergence-tolerant varieties in local breeding programs…”
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CRISPR-Cas9 and CRISPR-Cpf1 mediated targeting of a stomatal developmental gene EPFL9 in rice by Zhang, Shilai, Hu, Jian, Yang, Chundao, Liu, Haitao, Yang, Feng, Zhou, Jihua, Samson, Ben K., Boualaphanh, Chanthakhone, Huang, Liyu, Huang, Guangfu, Zhang, Jing, Huang, Wanqi, Tao, Dayun, Harnpichitvitaya, Dome, Wade, Len J., Hu, Fengyi

“…This study demonstrates the application of CRISPR-Cas9/Cpf1 to precisely target genomic locations and develop transgene-free homozygous heritable gene edits and confirms that the loss of function analysis of the candidate genes emerging from different systems biology based approaches, could be performed, and therefore, this system adds value in the validation of gene function studies…”
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Association mapping of yield and yield-related traits under reproductive stage drought stress in rice (Oryza sativa L.) by Swamy, B.P.Mallikarjuna, Shamsudin, Noraziyah Abd Aziz, Rahman, Site Noorzuraini Abd, Mauleon, Ramil, Ratnam, Wickneswari, Sta. Cruz, Ma.Teressa, Kumar, Arvind

“… # Results The drought screening was successful in screening germplasm with a yield reduction of up to 60% and heritability for grain yield under drought was up to 78%. …”
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Genome-wide association analysis for heat tolerance at flowering detected a large set of genes involved in adaptation to thermal and other stresses by Lafarge, Tanguy, Bueno, Crisanta, Frouin, Julien, Jacquin, Laval, Courtois, Brigitte, Ahmadi, Nourollah

“…Fertilization sensitivity to heat in rice is a major issue within climate change scenarios in the tropics. …”
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Characterization of Three Indica Rice Multiparent Advanced Generation Intercross (MAGIC) Populations for Quantitative Trait Loci Identification by Meng, Lijun, Guo, Longbiao, Ponce, Kimberly, Zhao, Xiangqian, Ye, Guoyou

“…A population of 248 IRRI breeding lines and a population of 323 Chinese breeding lines were also included to compare genetic diversity and linkage disequilibrium (LD) pattern. …”
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Engineering high α‐amylase levels in wheat grain lowers Falling Number but improves baking properties by Ral, Jean-Philippe, Whan, Alex, Larroque, Oscar, Leyne, Emmett, Pritchard, Jeni, Dielen, Anne-Sophie, Howitt, Crispin A., Morell, Matthew K., Newberry, Marcus

“…Late maturity α‐amylase (LMA) and preharvest sprouting (PHS) are genetic defects in wheat. They are both characterized by the expression of specific isoforms of α‐amylase in particular genotypes in the grain prior to harvest. …”
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Xa39, a novel dominant gene conferring broad‐spectrum resistance to Xanthomonas oryzae pv. oryzae in rice by Zhang, F., Zhuo, D.‐L., Zhang, F., Huang, L.‐Y., Wang, W.‐S., Xu, J.‐L., Vera Cruz, C., Li, Z.‐K., Zhou, Y.‐L.

“…By contrast, the parents were highly susceptible to 10 of the tested strains and resistant or moderately susceptible to 11 strains, but without HR symptoms. Genetic analysis of the F2 population derived from the HHZ/FF329 cross with virulent Philippines race 6 (P6) and Chinese pathotype V (CV) revealed that BB resistance in FF329 was controlled by a single dominant gene. …”
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Isolation of a novel mutant gene for soil-surface rooting in rice (Oryza sativa L.) by Hanzawa, Eiko, Sasaki, Kazuhiro, Nagai, Shinsei, Obara, Mitsuhiro, Fukuta, Yoshimichi, Uga, Yusaku, Miyao, Akio, Hirochika, Hirohiko, Higashitani, Atsushi, Maekawa, Masahiko, Sato, Tadashi

“…In this study, we examined the genetic and physiological characteristics of this mutant.The primary roots of the mutant showed no gravitropic response from the seedling stage on, whereas the gravitropic response of the shoots was normal. …”
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Development and application of 1536-plex single nucleotide polymorphism (SNP) marker chip for genome wide scanning Indonesian rice germplasm by Utami, Dwinita W., Rosdianti, I., Lestari, P., Satyawan, D., Rijzaani, H., Tasma, I.M.

“…A successful molecular breeding program requires detailed and comprehensive understanding of the diversity of rice germ-plasm and genetic base of target traits. The objective of this research was to develop the high throughput 1536-SNP chip linked to heading date and yield component traits and used it for genotyping the diverse Indonesian rice germplasm. …”
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Effects of sample size on the performance of species distribution models by Wisz, M.S., Hijmans, R.J., Li, J., Peterson, A.T., Graham, C.H., Guisan, A.

“…Other algorithms were much less sensitive to sample size, including an algorithm based on maximum entropy (MAXENT) that had among the best predictive power across all sample sizes. …”
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