糜子育成品种农艺、产量及品质性状综合鉴定与评价

doi:10.3864/j.issn.0578-1752.2017.23.007

Abstract

Abstract: 【Objective】 In order to analyze the problems existed in broomcorn millet improvement and put forward solutions, the agronomic, yield and quality traits of non waxy and waxy broomcorn millet cultivars were evaluated. This would also provide theoretical supports for the breeding and development of broomcorn millet production. 【Method】The experimental materials were 22 non waxy broomcorn millet and 18 waxy broomcorn millet cultivars developed in recent years. The agronomic traits (growth duration, plant height, nodes, grain color, panicle color, and panicle shape) and yield traits (1000-grain weight, panicle weight and panicle size) were collected in field trials. The yellow pigment (n-butanol extraction), crude fat content (Soxhlet extraction method), amylose and amylopectin content (dual wavelength method) and protein content (Kjeldahl method) were obtained in laboratory.【Result】The average yield of non waxy broomcorn millet cultivars was 3 465.5 kg·hm^-2 (2 976.0-3 915.0 kg·hm^-2), and that of waxy broomcorn millet cultivars was 3 163.4 kg·hm^-2 (2 575.5-4 002.0 kg·hm^-2). The correlation analysis of agronomic traits showed that the correlation coefficient between yield and growth duration, 1000-grain weight, panicle size and panicle weight reached the significant level. The results showed that the growth duration, plant height, nodes, 1000-grain-weight, panicle weight, panicle size and yield of broomcorn millet cultivars were within a small range. The average yellow pigment of non waxy broomcorn millet cultivars was 2.7 mg·kg^-1 (1.7-3.3 mg·kg^-1), and that of waxy broomcorn millet cultivars was 2.4 mg·kg^-1 (2.1-2.9 mg·kg^-1). The average crude fat content of non waxy broomcorn millet cultivars was 3.6% (1.7%-5.6%), and that of waxy broomcorn millet cultivars was 4.1% (2.7%-5.5%). There was no significant difference between non waxy and waxy broomcorn millet in yellow pigment and crude fat content. The average amylose content of non waxy broomcorn millet cultivars was 32.22% (11.31%-38.67%), while the average amylopectin content was 35.01% (21.43%-64.02%). The average total starch content of non waxy broomcorn millet cultivars was 67.23% (58.59%-77.87%). The average ratio of amylose to amylopectin of non waxy broomcorn millet cultivars was 1.00 (0.18-1.73). The average amylose content of waxy broomcorn millet cultivars was 3.69% (2.24%-5.55%), while the average amylopectin content was 57.37% (49.40%-68.01%). The average total starch content of waxy broomcorn millet cultivars was 61.06% (54.18%-72.11%). The average ratio of amylose to amylopectin of waxy broomcorn millet cultivars was 0.07 (0.05-0.11). Among them, the content of amylose was higher in Longmi 5 and Longmi 8, and the content of amylose was moderate in Ningmi 17 and Yumi 2, and the content of amylose was low in Jinshu 9 and Yanshu 7. The average protein content of non waxy broomcorn millet cultivars was 11.13% (9.64%-13.26%), and that of waxy broomcorn millet cultivars was 13.72% (12.10%-15.72%). The protein content of waxy broomcorn millet was higher than that of non waxy broomcorn millet.【Conclusion】In recent years, variations in a number of agronomic and yield traits of broomcorn millet cultivars released was within a small range and the type of broomcorn millet cultivars was unitary, which could not meet the production and market demand. It is necessary to combine the traditional breeding method with the new molecular breeding technology in mining, utilizing and innovating the excellent millet resources. The direction of improvement of millet cultivars is to develop new cultivars with excellent traits, strong resistance to biotic and abiotic stress, wide adaptability, high yield and good quality.

Key words: broomcorn millet, agronomic traits, yield traits, quality traits

YANG QingHua, QIU Jun, LI Hai, YANG TianYu, CHENG BingWen, ZHAO Min, LIU GuoQing, GAO XiaoLi, FENG BaiLi. Comprehensive Evaluation of Agronomic, Yield and Quality Traits of Broomcorn Millet (Panicum miliaceum L.) Cultivars[J].Scientia Agricultura Sinica, 2017, 50(23): 4530-4544.

0
/ / Recommend

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: https://www.chinaagrisci.com/EN/10.3864/j.issn.0578-1752.2017.23.007

https://www.chinaagrisci.com/EN/Y2017/V50/I23/4530

References

[1] 苏旺, 屈洋, 冯佰利, 柴岩. 沟垄覆膜集水模式提高糜子光合作用和产量. 农业工程学报, 2014, 30(13): 137-145.

SU W, QU Y, FENG B L, CHAI Y. Photosynthesis characteristics and yield of broomcorn millet under film mulching on ridge-furrow for harvesting rainwater model in semi-arid region of Northern Shaanxi. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(13): 137-145. (in Chinese)

[2] 柴岩, 冯佰利, 王宏岩. 中国黄米食品. 杨陵: 西北农林科技大学出版社, 2012: 85-89.

CHAI Y, FENG B L, WANG H Y. Chinese Millet Food. Yangling: Northwest Agriculture and Forestry University of Science and Technology Press, 2012: 85-89. (in Chinese)

[3] 郭琦. 中国糜子(Panicum miliaceum L.)种质资源遗传多样性分析[D]. 太谷: 山西农业大学, 2013.

GUO Q. Genetic diversity of common millet (Panicum miliaceum L.) germplasm in China[D]. Taigu: Shanxi Agricultural University, 2013. (in Chinese)

[4] Berenji J, Dahlberg J, Sikora V, Latkovi D. Origin, history, morphology, production, improvement, and utilization of broomcorn [Sorghum bicolor (L.) Moench] in serbia1. Economic botany, 2011, 65(2): 190-208.

[5] 秦君, 杨春燕, 谷峰, 张耀斌, 冯燕, 唐晓东, 刘长友, 张孟臣. 黄淮海地区大豆产量及其稳定性评价. 中国农业科学, 2013, 46(3): 451-462.

QIN J, YANG C Y, GU F, ZhANG Y B, FENG Y, TANG X D, LIU C Y, ZhANG M C. Evaluation of productivity and stability of soybean cultivars in China’s Huang-Huai-Hai region. Scientia Agricultura Sinica, 2013, 46(3): 451-462. (in Chinese)

[6] 关立, 张志民, 祁国宾, 郭鹏飞, 王卫民, 王新平, 韩勇. 灰色多维综合隶属度评估方法在小麦品种评价中的应用. 河南农业大学学报, 2006, 40(2): 117-121.

GUAN L, ZHANG Z M, QI G B, GUO P F, WANG W M, WANG X P, HAN Y. Application of the assessment method of grey multidimensional comprehensive membership grade in evaluating wheat varieties. Journal of Henan Agricultural University, 2006, 40(2): 117-121. (in Chinese)

[7] 赵术伟. 同异分析方法在谷子品种区域试验中的应用研究. 辽宁农业科学, 2006, 1: 38-40.

ZHAO S W. Application of identical and different analysis in millet variety regional test. Liaoning Agricultural Sciences, 2006, 1: 38-40. (in Chinese)

[8] 张盼盼, 冯佰利, 王鹏科, 高小丽, 高金锋, 宋慧, 张小东, 柴岩. PEG胁迫下糜子苗期抗旱指标鉴选研究. 中国农业大学学报, 2012, 17(1): 53-59.

ZhANG P P, FENG B L, WANG P K, GAO X L, GAO J F, SONG H, ZhANG X D, CHAI Y. Study on identification of drought-resistance indexes at seedling stage in broomcorn millet under PEG stress. Journal of China Agricultural University, 2012, 17(1): 53-59. (in Chinese)

[9] 刘天鹏, 董孔军, 何继红, 任瑞玉, 张磊, 杨天育. 糜子育成品种芽期抗旱性鉴定与评价研究. 植物遗传资源学报, 2014, 15(4): 746-752.

LIU T P, DONG K J, HE J H, REN R Y, ZHANG L, YANG T Y. Identification and evaluation on the drought resistance of broomcorn millet bred cultivars at germinating stage. Journal of Plant Genetic Resources, 2014, 15(4): 746-752. (in Chinese)

[10] 何继红, 刘天鹏, 董孔军, 刘敏轩, 陆平, 任瑞玉, 张磊, 杨天育. 糜子育成品种成株期抗旱性鉴定与评价. 植物遗传资源学报, 2016, 17(1): 45-52.

HE J H, LIU T P, DONG K J, LIU M X, LU P, REN R Y, ZhANG L, YANG T Y. Evaluation and identification on the drought resistance of broomcorn millet bred cultivars at adult stage. Journal of Plant Genetic Resources, 2016, 17(1): 45-52. (in Chinese)

[11] 张骥如飞, 周瑜, 杨璞, 王鹏科, 高金锋, 高小丽, 冯佰利. 糜子感染黑穗病菌后的生理变化及与抗病性关系. 中国农业大学学报, 2015, 20(3): 108-113.

ZHANG J R F, ZHOU Y, YANG P, WANG P K, GAO J F, GAO X L, FENG B L. Study on physiological changes and correlation with resistance level to the head smut of broomcorn millet after an infection with sphacelotheca destruen. Journal of China Agricultural University, 2015, 20(3): 108-113. (in Chinese)

[12] 周瑜, 刘佳佳, 张盼盼, 屈洋, 张骥如飞, 朱明旗, 冯佰利. 糜子叶片防御酶系及抗氧化物质对黑穗病菌胁迫的响应. 中国农业科学, 2016, 49(17): 3298-3307.

ZHOU Y, LIU J J, ZHANG P P, QU Y, ZHANG J R F, ZHU M Q, FENG B L. Response of leaf defensive enzymes and antioxidant to smut fungus stress in broomcorn millet. Scientia Agricultura Sinica, 2016, 49(17): 3298-3307. (in Chinese)

[13] 伟利国, 张小超, 赵博, 李福超. 电子鼻技术及其在小麦活性检测中的应用. 农机化研究, 2010, 32(6): 150-152.

WEI L G, ZHANG X C, ZHAO B, LI F C. Electronic nose technology and its application in the activity detection of wheat grain. Journal of Agricultural Mechanization Research, 2010, 32(6): 150-152. (in Chinese)

[14] 殷勇, 郝银凤, 于慧春. 基于多特征融合的电子鼻鉴别玉米霉变程度. 农业工程学报, 2016, 32(12): 254-260.

YIN Y, HAO Y F, YU H C. Identification method for different moldy degrees of maize using electronic nose coupled with multi-features fusion. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(12): 254-260. (in Chinese)

[15] 徐赛, 周志艳, 罗锡文. 常规稻与杂交稻谷的仿生电子鼻分类识别. 农业工程学报, 2014, 30(9): 133-139.

XU S, ZhOU Z y, LUO X w. Classification and recognition of hybrid and inbred rough rice based on bionic electronic nose. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(9): 133-139. (in Chinese)

[16] 张春红, 李金州, 张亚东, 朱镇, 赵凌, 王才林. 食味仪测定与感官评价相结合鉴定优质粳稻食味特性. 江苏农业学报, 2009, 25(5): 958-965.

ZHANG C H, LI J Z, ZHANG Y D, ZHU Z, ZHAO L, WANG C L. Identification of palatability characteristics of high-quality non waxy rice (Oryza sativa L.) by taste analyzer and sensory score test. Jiangsu Journal of Agricultural Sciences, 2009, 25(5): 958-965. (in Chinese)

[17] 臧盛, 杨联芝, 王敏, 程炳文, 李海萍. 15种糜子壳粉的多酚类化合物的抗氧化活性. 西北农业学报, 2010, 19(9): 139-143.

ZANG S, YANG L Z, WANG M, CHENG B W, LI H P. Antioxidant Activity phenolic compounds content of fifteen strains of proso millet pericarp. Acta Agriculturae Boreali-Occidentalis Sinica, 2010, 19(9): 139-143. (in Chinese)

[18] Hentschel V, Kranl K, Hollmann J, Lindhauer M, Böhm V, Bitsch R. Spectrophotometric determination of yellow pigment content and evaluation of carotenoids by high-performance liquid chromatography in durum wheat grain. Journal of Agricultural and Food Chemistry, 2002, 50(23): 6663-6668.

[19] Zarnowski R, Suzuki Y. Expedient Soxhlet extraction of resorcinolic lipids from wheat grains. Journal of Food Composition and Analysis, 2004, 17(5): 649-663.

[20] Yamashita S, Baba N, Moriyama H. Application of dual-wavelength spectrophotometry to determination of amylose and amylopectin contents. Nippon Shokuhin Kagaku Kogaku Kaishi, 1993, 40(5): 365-369.

[21] GB/T 5511, 谷物和豆类-氮含量测定和粗蛋白质含量计算　凯氏法. 2008.

GB/T 5511, Cereals and pulses-Determination of the nitrogen content and calculation of the crude protein content Kjeldahl method. 2008. (in Chinese)

[22] Hunt H V, Denyer K, Packman L C, Jones M K, Howe C J. Molecular basis of the waxy endosperm starch phenotype in broomcorn millet (Panicum miliaceum L.). Molecular Biology & Evolution, 2010, 27(7): 1478-1494.

[23] Kawase M, Fukunaga K, Kato K. Diverse origins of waxy foxtail millet crops in East and Southeast Asia mediated by multiple transposable element insertions. Molecular Genetics & Genomics, 2005, 274(2): 131-140.

[24] Yamanaka S, Nakamura I, Watanabe K N, Sato Y I. Identification of SNPs in the waxy gene among glutinous rice cultivars and their evolutionary significance during the domestication process of rice. Theoretical & Applied Genetics, 2004, 108(7): 1200-1204.

[25] Syahariza Z A, Sar S, Hasjim J, Tizzotti M J, Gilbert R G. The importance of amylose and amylopectin fine structures for starch digestibility in cooked rice grains. Food Chemistry, 2013, 136(2): 742-749.

[26] 刘斐, 刘猛, 赵宇, 南春梅, 夏雪岩, 宋世佳, 任晓利, 李顺国. 2016年中国谷子糜子产业发展趋势. 农业展望, 2016, 5: 39-42.

LIU F, LIU M, ZHAO Y, NAN C M, XIA X Y, SONG S J, REN X L, LI S G. Development trends of China’s foxtail millet and broomcorn millet industry in 2016. Agricultural Outlook, 2016, 5: 39-42. (in Chinese)

[27] 王华君, 张文明, 姚大年, 郑文寅, 姜文, 赵莉. 糯小麦及非糯普通小麦若干农艺和品质性状的比较研究. 安徽农业大学学报, 2006, 33(2): 248-251.

WANG H J, ZhANG W M, YAO D N, ZHENG W Y, JIANG W, ZHAO L. Some agronomy and quality traits in waxy and common wheat. Journal of Anhui Agricultural University, 2006, 33(2): 248-251. (in Chinese)

[28] 李云, 史振声, 王建, 于艳杰. 糯质与非糯质爆裂玉米同型系杂交种的产量和品质比较. 玉米科学, 2014, 6: 12-15.

LI Y, SHI Z S, WANG J, YU Y J. Comparative investigation of yield and quality for waxy and non waxy popcorn homogeneous lines hybrid. Journal of Maize Sciences, 2014, 6: 12-15. (in Chinese)

[29] 张伯桥, 吕国峰, 张晓祥, 朱冬梅, 高德荣. Wx基因变异对小麦籽粒胚乳质地的影响. 麦类作物学报, 2008, 28(1): 47-50.

ZHANG B Q, Lü G F, ZHANG X X, ZHU D M, GAO D R. Effects of Wx gene mutation on endosperm traits of wheat. Journal of Triticeae Crops, 2008, 28(1): 47-50. (in Chinese)

[30] 冯佰利, 蒋纪芸, 曾盛名, 张林生, 柴岩. 生态高度对糜子籽粒蛋白质及氨基酸含量的影响. 西北农业大学学报, 1996, 24(5): 91-95.

FENG B L, JIANG J Y, ZENG S M, ZHANG L S, CHAI Y. Effect of ecological factors on the protein and amino acid content in grains of Panicum miliaceum L.. Journal of Northwest Sci-Tech University of Agriculture and Forestry, 1996, 24(5): 91-95. (in Chinese)

[31] 张丽英, 张正斌, 徐萍, 卫云宗, 刘新江. 黄淮小麦农艺性状进化及对产量性状调控机理的分析. 中国农业科学, 2014, 47(5): 1013-1028.

ZhANG L Y, ZhANG Z B, XU P, WEI Y Z, LIU X J. Evolution of agronomic traits of wheat and analysis of the mechanism of agronomic traits controlling the yield traits in the Huang-Huai Plain. Scientia Agricultura Sinica, 2014, 47(5): 1013-1028. (in Chinese)

[32] 孙峰成, 冯勇, 于卓, 赵瑞霞, 张来厚, 苏二虎, 刘志雄, 石海波. 12个玉米群体的主要农艺性状与产量、品质的灰色关联度分析. 华北农学报, 2012, 27(1): 102-105.

SUN F C, FENG Y, YU Z, ZHAO R X, ZHANG L H, SU E H, LIU Z X, SHI H B. Grey relativity analysis on main agronomic traits of 12 maize populations with their yields and traits. Acta Agriculturae Boreali-Sinica, 2012, 27(1): 102-105. (in Chinese)

[33] 柳青山, 周福平, 梁笃, 段冰, 李团银. 糯高粱品种主要农艺性状与产量的灰色关联分析. 中国农学通报, 2008, 24(7): 478-481.

LIU Q S, ZHOU F P, LIANG D, DUAN B, LI T Y. Gray relevant analysis between yield and main agronomic characteristics in Glutinous Sorghum. Chinese Agricultural Science Bulletin, 2008, 24(7): 478-481. (in Chinese)

[34] 栾素荣, 王占廷, 李青松. 谷子产量与主要农艺性状的灰色关联度分析. 河北农业科学, 2010, 14(11): 115-116.

LUAN S R, WANG Z T, LI Q S. Grade analysis on yield and main agronomic traits of foxtail millet. Journal of Hebei Agricultural Sciences, 2010, 14(11): 115-116. (in Chinese)

[35] 张立媛, 杨恒山, 王显瑞, 琦明玉, 赵敏. 10个糜子品种产量与农艺性状的灰色关联度分析. 种子, 2014, 33(11): 68-69.

ZHANG L Y, YANG H S, WANG X R, QI M Y, ZHAO M. Gray correlation analysis of yield and agronomic traits of broom millet. Seed, 2014, 33(11): 68-69. (in Chinese)

[36] 刘正理, 程汝宏, 张凤莲, 夏雪岩, 师志刚, 张耀华. 不同密度条件下3种类型谷子品种产量及其构成要素变化特征研究. 中国生态农业学报, 2007, 15(5): 135-138.

LIU Z L, CHENG R H, ZhANG F L, XIA X Y, SHI Z G, ZHANG Y H. Yield and yield component characteristics of three foxtail millet varieties at different planting densities. Chinese Journal of Eco-Agriculture, 2007, 15(5): 135-138. (in Chinese)

[37] Singh A, Reimer S, Pozniak C J, Clarke F R, Clarke J M, Knox R E, Singh A K. Allelic variation at Psy1-A1 and association with yellow pigment in durum wheat grain. theoretical and Applied Genetics, 2009, 118(8): 1539-1548.

[38] 夏雪岩, 师志刚, 张婷, 陈媛, 相金英, 冀小绵, 程汝宏. 不同粒色谷子品系的鸟害程度研究. 河北农业科学, 2014, 18(2): 4-6.

XIA X Y, SHI Z G, ZhANG T, CHEN Y, XIANG J Y, JI X M, CHENG R H. The research on bird-disaster degree in different grain colors of foxtail millet lines. Journal of Hebei Agricultural Sciences, 2014, 18(2): 4-6. (in Chinese)

[39] 柴岩, 万富世. 中国小杂粮产量发展报告. 北京: 中国农业科学技术出版社, 2007: 289-293.

CHAI Y, WANG F S. Report on the Output and Development of Minor Cereal Crops in China. Beijing: china agricultural science and technology press, 2007: 289-293. (in Chinese)

[40] Kostova A, Todorovska E, Christov N, Hristov K, Atanassov A. Assessment of genetic variability induced by chemical mutagenesis in elite maize germplasm via SSR markers. Journal of Crop Improvement, 2008, 16(1): 37-48.

[41] 朱祥芬, 闵东红, 张小红, 赵洁岚, 周永斌, 彭琳, 何莎, 陈丹丹. 快速定向育种技术体系的建立及其在转基因小麦育种中的应用. 西北农业学报, 2011, 20(6): 75-79.

ZHU X F, MIN D H, ZHANG X H, ZHAO J L, ZHOU Y B, PENG L, HE S, CHEN D D. Establishment of rapid and oriented breeding system and its application in transgenic wheat breeding. Acta Agriculturae Boreali-occidentalis Sinica (in Chinese), 2011, 20(6): 75-79.

[42] 常乐, 张爽, 王伟男, 张洪生, 林琪, 穆平. 小麦抗赤霉病的染色体工程育种研究进展. 分子植物育种, 2015, 13(1): 214-220.

CHANG L, ZHANG S, WANG W N, ZHANG H S, LIN Q, MU P. Research progress on chromosome engineering breeding for resistance to fusarium head blight (FHB) in wheat. Molecular Plant Breeding, 2015, 13(1): 214-220. (in Chinese)

[43] 张如养, 段民孝, 赵久然, 刘新香, 邢锦丰, 王元东. 单倍体技术在玉米种质改良和育种中的应用方向. 作物杂志, 2012, 5(4): 4-8.

ZHANG R Y, DUAN M X, ZHAO J R, LIU X X, XING J F, WANG Y D. The application of haploid technology on germplasm improving and breeding in maize. Crops, 2012, 5(4): 4-8. (in Chinese)

[44] 刘正理, 程汝宏. 谷子目标性状基因库育种技术体系的构建及其应用. 中国农业科学, 2005, 38(7): 1306-1311.

LIU Z L, CHENG R H. Establishment and application of breeding technology system on millet target character gene bank. Scientia Agricultura Sinica, 2005, 38(7): 1306-1311. (in Chinese)

[45] 刘笑瑜, 王瑞云, 刘敏轩. 利用SSR标记分析40份糜子资源的遗传多样性. 分子植物育种, 2016(6): 1624-1630.

LIU X Y, WANG R Y, LIU M X. Genetic diversities among 40 parts of broomcorn millet revealed by SSR markers. Molecular Plant Breeding, 2016(6): 1624-1630. (in Chinese)

[46] 刘晓欢. 中国糜子资源的农艺性状及Waxy基因的多态性研究[D]. 太谷: 山西农业大学, 2015.

LIU X H. Agronomic traits and polymorphism research of waxy gene in prosomillet (Panicum miliaceum L.) of China[D]. Taigu: Shanxi Agricultural University, 2015. (in Chinese)

[47] 董俊丽, 王海岗, 陈凌, 王君杰, 曹晓宁, 王纶, 乔治军. 糜子骨干种质遗传多样性和遗传结构分析. 中国农业科学, 2015(16): 3121-3131.

DONG J L, WANG H G, CHEN L, WANG J J, CAO X N, WANG L, QIAO Z J. Analysis of genetic diversity and structure of proso millet core germplasm. Scientia Agricultura Sinica, 2015(16): 3121-3131. (in Chinese)

[48] 杨天育, 董孔军, 何继红, 贾尚诚. 利用糜子野生种进行旱地糜子育种的实践. 作物杂志, 2005(5): 69-70.

YANG T Y, DONG K J, HE J H, JIA S C. The practice of broom millet breeding by using wild millet weeds. Crop, 2005(5): 69-70. (in Chinese)

[49] Karam D, Westra P, Nissen S J, Ward S M, Figueiredo J E F. Genetic diversity among proso millet (Panicum miliaceum) biotypes assessed by AFLP technique. Planta daninha, 2004, 22(2): 167-174.

[50]IGLESIAS A R, KINDIUND E, TAMMI M, WADELIUS C. Some microsatellites may act as novel polymorphic cis-regulatory elements through transcription factor binding. Gene, 2004, 341: 149-165.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

Comprehensive Evaluation of Agronomic, Yield and Quality Traits of Broomcorn Millet (Panicum miliaceum L.) Cultivars

RichHTML

PDF

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0

[1]	WANG JunJie,TIAN Xiang,QIN HuiBin,WANG HaiGang,CAO XiaoNing,CHEN Ling,LIU SiChen,QIAO ZhiJun. Regulation Effects of Photoperiod on Growth and Leaf Endogenous Hormones in Broomcorn Millet [J]. Scientia Agricultura Sinica, 2021, 54(2): 286-295.
[2]	FAN Tao,LI Zhi,JIANG Qing,CHEN ShuLin,OU Xia,CHEN YongYan,REN TianHeng. Development and Effect Evaluation of KASP Markers Closely Linked to Major QTLs of Spike Number Per Unit Area and Grain Length in Wheat [J]. Scientia Agricultura Sinica, 2021, 54(14): 2941-2951.
[3]	WANG JunJie,WANG HaiGang,CAO XiaoNing,CHEN Ling,LIU SiChen,TIAN Xiang,QIN HuiBin,QIAO ZhiJun. Comprehensive Evaluation of Photoperiod Sensitivity Based on Different Traits of Broomcorn Millet [J]. Scientia Agricultura Sinica, 2020, 53(3): 474-485.
[4]	WenJing HU,ChunMei ZHANG,Di WU,ChengBin LU,YaChao DONG,XiaoMing CHENG,Yong ZHANG,DeRong GAO. Screening for Resistance to Fusarium Head Blight and Agronomic Traits of Wheat Germplasms from Yangtze River Region [J]. Scientia Agricultura Sinica, 2020, 53(21): 4313-4321.
[5]	WU CaoYang,LIANG ShiHan,QIU Jun,GAO JinFeng,GAO XiaoLi,WANG PengKe,FENG BaiLi,YANG Pu. An Examination on Breeding Status Quo of Chinese Tartary Buckwheat Varieties Based on the National Cross-Country Tests of Tartary Buckwheat Varieties in China over 12 Consecutive Years [J]. Scientia Agricultura Sinica, 2020, 53(19): 3878-3892.
[6]	CHEN Ling,WANG JunJie,WANG HaiGang,CAO XiaoNing,LIU SiChen,TIAN Xiang,QIN HuiBin,QIAO ZhiJun. Screening of Broomcorn Millet Varieties Tolerant to Low Nitrogen Stress and the Comprehensive Evaluation of Their Agronomic Traits [J]. Scientia Agricultura Sinica, 2020, 53(16): 3214-3224.
[7]	WANG HaiLian,WANG RunFeng,LIU Bin,ZHANG HuaWen. Effects of Harvesting at Different Growth Stage on Agronomic and Nutritional Quality Related Traits of Sweet Sorghum [J]. Scientia Agricultura Sinica, 2020, 53(14): 2804-2813.
[8]	KOU ShuJun, HUO AHong, FU GuoQing, JI JunJian, WANG Yao, ZUO ZhenXing, LIU MinXuan, LU Ping. Genetic Diversity and Population Structure of Broomcorn Millet in China Based on Fluorescently Labeled SSR [J]. Scientia Agricultura Sinica, 2019, 52(9): 1475-1477.
[9]	JianFeng LI,Bo ZHANG,JianZhang QUAN,YongFang WANG,XiaoMei ZHANG,Yuan ZHAO,XiLei YUAN,XiaoPing JIA,ZhiPing DONG. Associated Loci Detection and Elite Allelic Variations Analysis of Main Agronomic Traits in Foxtail Millet (Setaria italica L.) Based on SSR Markers [J]. Scientia Agricultura Sinica, 2019, 52(24): 4453-4469.
[10]	DIAO XianMin. Progresses in Stress Tolerance and Field Cultivation Studies of Orphan Cereals in China [J]. Scientia Agricultura Sinica, 2019, 52(22): 3943-3949.
[11]	YUAN YuHao, YANG QingHua, DANG Ke, YANG Pu, GAO JinFeng, GAO XiaoLi, WANG PengKe, LU Ping, LIU MinXuan, FENG BaiLi. Salt-Tolerance Evaluation and Physiological Response of Salt Stress of Broomcorn Millet (Panicum miliaceum L.) [J]. Scientia Agricultura Sinica, 2019, 52(22): 4066-4078.
[12]	WANG JunJie,CHEN Ling,WANG HaiGang,CAO XiaoNing,LIU SiChen,TIAN Xiang,QIN HuiBin,QIAO ZhiJun. Effects of Hyperspectral Prediction on Leaf Nitrogen Content and the Grain Protein Content of Broomcorn Millet [J]. Scientia Agricultura Sinica, 2019, 52(15): 2593-2603.
[13]	LI ShiJing, XU Ping, ZHANG ZhengBin, WEI YunZong. Spatial-Temporal Distribution Characteristic and Interaction Between Agronomic Traits of Winter Wheat and Precipitation of Growth Period in Huang-Huai Dryland [J]. Scientia Agricultura Sinica, 2019, 52(10): 1686-1697.
[14]	GONG XiangWei, HAN HaoKun, ZHANG DaZhong, LI Jing, WANG Meng, XUE ZhiHe, YANG Pu, GAO XiaoLi, FENG BaiLi. Effects of Nitrogen Fertilizer on Dry Matter Accumulation, Transportation and Nitrogen Metabolism in Functional Leaves of Broomcorn Millet at Late Growth Stage [J]. Scientia Agricultura Sinica, 2018, 51(6): 1045-1056.
[15]	XUE YanTao, LU Ping, QIAO ZhiJun, LIU MinXuan, WANG RuiYun. Genetic Diversity and Genetic Relationship of Broomcorn Millet (Panicum miliaceum L.) Germplasm Based on SSR Markers [J]. Scientia Agricultura Sinica, 2018, 51(15): 2846-2859.