种田农民

   I believethe idea mentioned as following patent should be
the most important part of future molecular breeding program!
Highly appreciated if some volunteers can help to
pick up the major idea in
Chinese! 

 

Abstract

Methods for classifying plants by remote sensing and image analysis
technology are presented. These methods are useful for evaluating
plants and for selecting plants for a plant breeding program which
has as its goal to selectively alter phenotype. The methods combine
the newer techniques of remote sensing technology to obtain
indirect correlates of the traits of interest, with classical
pedigree breeding strategies. Thermal and infrared reflectance
measures of plant canopies are examples of energy values measured
by remote sensing, used to indirectly predict the selected
traits.

Claims

What is claimed is:

1. A method of plant breeding, the method comprising the steps
of:

a) essentially simultaneously obtaining a separate energy value for
each of a plurality of genotypes of said plant using remote sensing
of said genotypes;

b) performing operations on said energy value to define a
descriptor of a phenotypic trait in said genotypes;

c) using said descriptor to compare the values of said phenotypic
trait among a plurality of said genotypes;

d) identifying from said genotypes a genotype that displays a
preferred value of said phenotypic trait relative to a second
genotype to which the identified genotype was compared; and

e) selecting said identified genotype and

(i) crossing plants of said identified genotype with the same
genotype or a second genotype for purposes of plant breeding; or

(ii) growing plants of said identified genotype for further
evaluation of phenotypic trait performance.

2. The method of claim 1 wherein the energy values comprise those
produced by reflectance of active or passive electromagnetic
radiation by the plants.

3. The method of claim 2 wherein the energy values are further
defined as recorded by multispectral color-infrared
photometry.

4. The method of claim 3 wherein the recorded energy values
comprise a descriptor predictive of photosynthetic activity of the
plants.

5. The method of claim 3 wherein the recorded energy values
comprise a descriptor predictive of plant morphological response to
an environment.

6. The method of claim 5 wherein the plant morphological response
to an environment comprises leaf rolling.

7. The method of claim 1, wherein the descriptor of a first
phenotype of the plants comprises a descriptor used to predict a
second phenotype of the plants.

8. The method of claim 7 wherein the second phenotype is
yield.

9. The method of claim 1 wherein the energy values comprise those
produced by emission of electromagnetic radiation by the
plants.

10. The method of claim 9 wherein the energy values are further
defined as comprising thermal output of a canopy formed by the
plurality of plants.

11. The method of claim 10 wherein the thermal output of the plant
canopy comprises a descriptor predictive of photosynthetic activity
of the plants.

12. The method of claim 10 wherein the thermal output of the plant
canopy comprises a descriptor predictive of plant morphological
response to an environment.

13. The method of claim 12 wherein the plant morphological response
to an environment comprises leaf rolling.

14. The method of claim 10 wherein the thermal output of the plant
canopy comprises a descriptor predictive of plant water
status.

15. The method of claim 1 wherein an image of energy values is
obtained by video technology.

16. The method of claim 15 wherein the video technology comprises
video systems for multispectral reflectance recording.

17. The method of claim 1 wherein the image comprises an image
obtained by remote sensing using aerial surveillance of the
plants.

18. The method of claim 1 wherein the plants comprise corn
plants.

19. The method of claim 18 wherein the corn plants comprise hybrid
plants.

20. The method of claim 18 wherein the corn plants comprise
segregating offspring populations produced by self-fertilization of
hybrid plants.

21. The method of claim 1 wherein the plants comprise sorghum
plants.

22. The method of claim 1 wherein the plants comprise soybean
plants.

23. The method of claim 1 wherein the operations performed on an
image comprise digitization and image enhancement.

24. The method of claim 23 wherein the operations are further
defined as comprising factor analysis of the digitized values of
the image.

25. The method of claim 24 wherein the factors analyzed comprise
principal components of the digitized values.

26. The method of claim 23 wherein the operations are further
defined as comprising determining the standard deviations of the
factors of the digitized values of the image.

27. The method of claim 26 wherein the factors are principal
components.

28. The method of claim 26 wherein the standard deviations are
predictive of yield.

29. The method of claim 1 wherein the plants are growing in a
field.

30. The method of claim 29 wherein the field is divided into
subplots.

31. The method of claim 30 wherein the subplots comprise plants of
different genotypes.

32. The method of claim 1 further comprising selecting certain
classes of plants for subsequent breeding.

33. The method of claim 32 wherein the gametes of the plants
selected are used for subsequent breeding.

34. The method of claim 33 further comprising a comparison of the
phenotypes of the different genotypes.

35. The method of claim 1 wherein the defined phenotypic trait is
stress response.

36. The method of claim 35 wherein the stress responded to
comprises different levels of water availability.

37. The method of claim 35 wherein the stress responded to
comprises different levels of temperature.

38. The method of claim 1 wherein the phenotypic trait is
resistance to insects.

39. The method of claim 38 wherein the insects comprise European
corn borer or rootworm.

40. The method of claim 1 wherein the phenotypic trait is disease
resistance.

41. The method of claim 40 wherein disease resistance is further
defined as comprising resistance to fungal, viral, or bacteria
plant diseases.

42. The method of claim 1 wherein the defined phenotypic trait is
the response of said identified genotype to environmental
change.

43. The method of claim 1 wherein the defined phenotypic trait is
yield.

44. The method of claim 1 wherein the defined phenotypic trait is
wide area adaptability of genotypes.

45. The method of claim 1 wherein the defined phenotypic trait is
drought resistance.

46. The method of claim 1 where the defined phenotypic trait is
yield stability.

47. The method of claim 1 wherein said genotypes are selected based
on genetic improvement.

48. The method of claim 1 wherein said identified genotype is
crossed with the same genotype or a second genotype for purposes of
plant breeding.

49. The method of claim 1 wherein said identified genotype is grown
for further evaluation of phenotypic trait performance.

50. A method for selecting Zea mays plants for cultivar development
based on predicting genotype contribution to the value of a defined
phenotypic trait in a plant genotype at a given generation, said
method comprising the steps of:

a) essentially simultaneously obtaining an energy value by remote
sensing of said plant genotype at a generation different than said
given generation;

b) performing operations on said energy value to develop a
quantitative descriptor of a phenotypic trait in said plant
genotype;

c) using said descriptor to predict the contribution of said
genotype to said defined phenotypic trait at said given generation; and

d) selecting a genotype based on said prediction and

(i) crossing plants of said identified genotype with the same
genotype or a second genotype for purposes of plant breeding; or

(ii) growing plants of said desired genotype for further evaluation
of phenotypic trait performance.

51. The method of claim 1 wherein the defined phenotypic trait is
herbicide resistance.
~Abstract

Methods for classifying plants by remote sensing and
image analysis technology are presented. These methods are useful
for evaluating plants and for selecting plants for a plant breeding
program which has as its goal to selectively alter phenotype. The
methods combine the newer techniques of remote sensing technology
to obtain indirect correlates of the traits of interest, with
classical pedigree breeding strategies. Thermal and infrared
reflectance measures of plant canopies are examples of energy
values measured by remote sensing, used to indirectly predict the
selected traits.

Claims

What is claimed is:

1. A method of plant breeding, the method comprising the steps
of:

a) essentially simultaneously obtaining a separate energy value for
each of a plurality of genotypes of said plant using remote sensing
of said genotypes;

b) performing operations on said energy value to define a
descriptor of a phenotypic trait in said genotypes;

c) using said descriptor to compare the values of said phenotypic
trait among a plurality of said genotypes;

d) identifying from said genotypes a genotype that displays a
preferred value of said phenotypic trait relative to a second
genotype to which the identified genotype was compared; and

e) selecting said identified genotype and

(i) crossing plants of said identified genotype with the same
genotype or a second genotype for purposes of plant breeding; or

(ii) growing plants of said identified genotype for further
evaluation of phenotypic trait performance.

2. The method of claim 1 wherein the energy values comprise those
produced by reflectance of active or passive electromagnetic
radiation by the plants.

3. The method of claim 2 wherein the energy values are further
defined as recorded by multispectral color-infrared
photometry.

4. The method of claim 3 wherein the recorded energy values
comprise a descriptor predictive of photosynthetic activity of the
plants.

5. The method of claim 3 wherein the recorded energy values
comprise a descriptor predictive of plant morphological response to
an environment.

6. The method of claim 5 wherein the plant morphological response
to an environment comprises leaf rolling.

7. The method of claim 1, wherein the descriptor of a first
phenotype of the plants comprises a descriptor used to predict a
second phenotype of the plants.

8. The method of claim 7 wherein the second phenotype is
yield.

9. The method of claim 1 wherein the energy values comprise those
produced by emission of electromagnetic radiation by the
plants.

10. The method of claim 9 wherein the energy values are further
defined as comprising thermal output of a canopy formed by the
plurality of plants.

11. The method of claim 10 wherein the thermal output of the plant
canopy comprises a descriptor predictive of photosynthetic activity
of the plants.

12. The method of claim 10 wherein the thermal output of the plant
canopy comprises a descriptor predictive of plant morphological
response to an environment.

13. The method of claim 12 wherein the plant morphological response
to an environment comprises leaf rolling.

14. The method of claim 10 wherein the thermal output of the plant
canopy comprises a descriptor predictive of plant water
status.

15. The method of claim 1 wherein an image of energy values is
obtained by video technology.

16. The method of claim 15 wherein the video technology comprises
video systems for multispectral reflectance recording.

17. The method of claim 1 wherein the image comprises an image
obtained by remote sensing using aerial surveillance of the
plants.

18. The method of claim 1 wherein the plants comprise corn
plants.

19. The method of claim 18 wherein the corn plants comprise hybrid
plants.

20. The method of claim 18 wherein the corn plants comprise
segregating offspring populations produced by self-fertilization of
hybrid plants.

21. The method of claim 1 wherein the plants comprise sorghum
plants.

22. The method of claim 1 wherein the plants comprise soybean
plants.

23. The method of claim 1 wherein the operations performed on an
image comprise digitization and image enhancement.

24. The method of claim 23 wherein the operations are further
defined as comprising factor analysis of the digitized values of
the image.

25. The method of claim 24 wherein the factors analyzed comprise
principal components of the digitized values.

26. The method of claim 23 wherein the operations are further
defined as comprising determining the standard deviations of the
factors of the digitized values of the image.

27. The method of claim 26 wherein the factors are principal
components.

28. The method of claim 26 wherein the standard deviations are
predictive of yield.

29. The method of claim 1 wherein the plants are growing in a
field.

30. The method of claim 29 wherein the field is divided into
subplots.

31. The method of claim 30 wherein the subplots comprise plants of
different genotypes.

32. The method of claim 1 further comprising selecting certain
classes of plants for subsequent breeding.

33. The method of claim 32 wherein the gametes of the plants
selected are used for subsequent breeding.

34. The method of claim 33 further comprising a comparison of the
phenotypes of the different genotypes.

35. The method of claim 1 wherein the defined phenotypic trait is
stress response.

36. The method of claim 35 wherein the stress responded to
comprises different levels of water availability.

37. The method of claim 35 wherein the stress responded to
comprises different levels of temperature.

38. The method of claim 1 wherein the phenotypic trait is
resistance to insects.

39. The method of claim 38 wherein the insects comprise European
corn borer or rootworm.

40. The method of claim 1 wherein the phenotypic trait is disease
resistance.

41. The method of claim 40 wherein disease resistance is further
defined as comprising resistance to fungal, viral, or bacteria
plant diseases.

42. The method of claim 1 wherein the defined phenotypic trait is
the response of said identified genotype to environmental
change.

43. The method of claim 1 wherein the defined phenotypic trait is
yield.

44. The method of claim 1 wherein the defined phenotypic trait is
wide area adaptability of genotypes.

45. The method of claim 1 wherein the defined phenotypic trait is
drought resistance.

46. The method of claim 1 where the defined phenotypic trait is
yield stability.

47. The method of claim 1 wherein said genotypes are selected based
on genetic improvement.

48. The method of claim 1 wherein said identified genotype is
crossed with the same genotype or a second genotype for purposes of
plant breeding.

49. The method of claim 1 wherein said identified genotype is grown
for further evaluation of phenotypic trait performance.

50. A method for selecting Zea mays plants for cultivar development
based on predicting genotype contribution to the value of a defined
phenotypic trait in a plant genotype at a given generation, said
method comprising the steps of:

a) essentially simultaneously obtaining an energy value by remote
sensing of said plant genotype at a generation different than said
given generation;

b) performing operations on said energy value to develop a
quantitative descriptor of a phenotypic trait in said plant
genotype;

c) using said descriptor to predict the contribution of said
genotype to said defined phenotypic trait at said given generation; and

d) selecting a genotype based on said prediction and

(i) crossing plants of said identified genotype with the same
genotype or a second genotype for purposes of plant breeding; or

(ii) growing plants of said desired genotype for further evaluation
of phenotypic trait performance.

51. The method of claim 1 wherein the defined phenotypic trait is
herbicide resistance.

 

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原来我们就是这样来到世界的!做父母的不容易啊!

 

迎迎玉照

 

阅读   

    生物通是我经常浏览的一个网站，尽管我对其号称的“中国生命科学第一网”很不以为然，但对我们尤其刚入门的大学生和研究生了解一点相关的生物科学进展，培养一些对生物的兴趣还是有帮助的。去年该网站某科学素养不高的记者在网站为所谓“三大科学冤案”鸣不平的时候，我曾经批评过。后来方舟子发了一篇长文严厉批评后，主编出来道歉。这一行为也深为我所欣赏。

    但最近生物通的报道，尤其对与中国科学家有关的报道越来越以吸引眼球和夸大事实为己任。不但影响了网站的声誉，也严重影响了涉及科学家的声誉。我认为，该网站的操作手法就是，雇几个英文好点的大学生，找几本专业的杂志，看了有中国人参与的工作就翻译一下摘要。然后添油加醋予以报道。（其翻译内容的错误和水平的低下不在此次批评之列）

比如今天的新闻：

    厦大最新《science》文章：植物细胞自由钙离子周期性震荡成因（http://www.ebiotrade.com/newsf/read.asp?page=200731284440）

    该文章其实主要是由Duke大学完成的，其中有三个共同第一作者，头2个来自Duke，第3个是厦门大学的也是唯一的一个。文章详细介绍了联系作者裴真明，尽管他早在2001年就是厦大和首都师大的特聘教授，而同时也是DUKE的助理教授。在文章中，该联系作者压跟都没有提厦大。如果生物通所说的是事实，无非给方舟子们多提供了一个打假目标而已。但无论如何该成果主要功劳应该记在DUKE身上而不是厦门大学！

    另外一篇：上海交大等第一作者发表《自然》子刊文章
（http://www.ebiotrade.com/newsf/read.asp?page=200731...）

    翻开文章看看：所有作者没有一个是上海交通大学的，3个共同第一作者中的一个注明了目前的地址是交通大学。但可以肯定该成果与交大基本上没有关系。
（http://www.nature.com/nm/journal/v13/n3/abs/nm1552....）

    这样的报道几乎天天都有，所以建议生物通的主编们以后稍微敬业点，写点专业的深入的报道比这样吸引眼球的题目更能吸引读者，如果自己写不了可以邀请方舟们帮你们写！也不要害这些好不容易辛辛苦苦写文章的作者们，他们也不容易，你们的报道不是给他们添光相反是抹黑！

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美国三大科学杂志同时发表长篇评论中国生命科学

2007年2月美国《细胞生物学杂志》,《细胞科学杂志》《实验医学杂志》同时以前尚未有的26页篇幅，发表美国科学William Wells长篇报道，评论中国生命科学现状。

随着中国经济蓬勃发展，中国对科技投入不断增加。生命科学是21世纪有巨大发展前途额学科，能推动国民经济，增强人民健康。中国政府支持生命科学发展。中国科技经费大幅增加，科研人员工资大幅增加。

回国的科学家对中国生命科学发展起了必不可少的作用。海外的华人科学家，也对中国生命科学发展了很大作用。《细胞生物学杂志》列出对中国生命科学起关键作用的八位科学家，以英文字母为序：

国内关键科学家：陈竺，路甬祥，饶子和。
海外关键科学家：鲁白，蒲慕明，饶毅，施一公，王晓东。
陈竺：中国科学院负责生物的副院长。他支持自然科学基金的竞争课题，也支持科技部的大课题。
路甬祥：中国科学院院长。工程师，开启知识创新计划，给中国科学院带来革命。
饶子和：南开大学校长。支持大科学课题。
鲁白：国立卫生研究院。为中国科学改革提供咨询，改革自然科学基金评审。
蒲慕明：加州大学伯克利分校。清华大学生物系前主任。创立中国科学院神经科学研究所，并任所长。
饶毅：西北大学。参与建立神经科学研究所，创立上海和北京主要研究生课，在北京生命科学研究所有实验室。他和鲁白、邹承鲁合写一篇被科技部禁止发行的《自然》文章，提倡中国更多以科学优劣为基础分配研究经费。
施一公：普林斯顿大学。结构生物学家，兼母校清华大学教授。他的几个博士后回国做教授。强调更好的教育。
王晓东：达拉斯。北京生命科学研究所创所共同所长。另一所长是耶鲁大学邓兴旺。
他们的发言（大意）
陈竺：
中国科技经费到2020年要增加很多。
改革之初说，邓小平十分之一回国就是成功。我很赞成这个观点。
大科学不是中国主流，不过15%到20%，其它都是小科学嘛。
承认很难计划真的科学。工程可以计划。
科学院要做应用研究，问题是做多少。
饶子和：
我一直准备回国，回国比在外面发展机会多。
我告诉学生，没有好结果，你不要回来，回来没人重视你。
中国要做大科学。反对科技部的大科学，是错误的。

人人都要钱。科技部要，教育部要，自然科学基金要。
鲁白：
我们是最早一批留学生，从好学校拿博士学位。
在中国做的事越多，人家越叫你做事。我希望更多的人去做。
和饶毅、邹承鲁发表在《自然》的文章，是我一生引用率最高的文章。反应强烈，从学生到领导，大多数都支持我们的观点。
一流人才聘一流人才，二流人才聘三流人才。二流人才怕竞争。
中国社会急功近利，希望今天出成果，明天能治病。社会要给科学家时间，给他们支持。
你的朋友审你的研究经费。好科学怎么出得来。
要评审，这是原则，不能变。
要有体制，不能依靠哪个人的好意。
蒲慕明：
人民认为科学是社会的支柱。
海外科学家为大多数人说话。
有两极意见分歧，不是海内和海外分歧。分歧在多数科学家和少数行政管理人员、现体系既得利益的少数科学家之间。
二十年前，清华没有准备好。
我们神经所开除了不能通过评审的人，包括一个中国科学院院士。
好几次要把我搞下台，我都不知道能做这么久的所长。
已经过去了，现在看来，建研究所是对的。
我们现在和美国二流学校竞争。
饶毅觉得中国可以建十个北京生命科学研究所，我怀疑不会。
大科学课题已经决定了。没听我的意见。蛋白质计划要拿几亿美元。我说过，没雇人以前，不要投钱。
中国大推大科学课题，很危险，不健康。这是中国模式，计划经济的延伸。
中国好几个研究所的蛋白质仪器比伯克利的好，不过没充分用上，浪费。
饶毅：
我有时发现，花在中国实验室的时间比美国多。
不仅评论中国，而且在中国做事。
神经所建立初，碰到了问题。有很多反对意见，生理所开大会批，学生扬言上街游行。
当初差点有人要退了，但是其他人说不行。
三、四年后，神经所得到了一致的尊重，它也没有分流任何人的钱。
神经所的学生比其他要活跃多了，影响了其他学生。
鼓励学生，不把他们当奴隶。
部委为自身利益说话，不为国家。
现在是经费导向课题，不是课题导向经费。
施一公：
我认为中国是下一个主要机会。
中国科学发展不够快，招聘不够多。
中国人到美国来很多，回去很少。
清华大学不到十人可以做普林斯顿的教授。
饶毅、鲁白、邹承鲁的文章太厉害了。
中国人不喜欢冲突，冲突了更糟。
教学很重要。没有好的课，学生学不会批评性思维。
自然科学基金做的好，应该多给它经费。
国内过分强调政治意义。
做大课题真是错误。
要招top人才，要有合理经费体制。两者缺一不可。
王晓东：
你要竞争国际一流人才，你就得给国际一流工资。
这是人才水平决定的。
我们（北京生命科学研究所）招不到年资高的，都是年青人。
为知识而知识，科学就是有这样的性质的学科。这个思想，在中国没有文化根基。如果社会有这种新思想，也许要好多了。
中国科学群体还很小。有些人什么都归他们干，所以成问题。
袁钧英（哈佛大学教授）：
中国做管理的人太年轻。三十多岁的人要做大决定，太早了。但你有什么办法呢。
谁和中国没有合作呢？

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   中国生命科学研究可谓牛事不断，最新一期的英国皇家学会旗下杂志，生物科学（IF=5左右）干脆来了一个介绍中国生物科学研究进展的专集，一共汇集了13篇相关方面的研究进展。主要是医学或者说人类自身有关的研究进展，看来中国生命科学的投钱主要在与人类自身有关的基础研究，不知道是不是与中科院副院长陈竺是同道人有关。涉及植物研究的只提到水稻，有2篇文章。前几天和老板聊天谈到，中国的科研经费，玉米估计只占水稻的5%。他想了想说刚好与美国相反，美国是水稻只占玉米的5%。

没有时间去一一介绍了，把文章题目列在这里，有兴趣的自己去看，如果下不了全文，EMAIL给我。不过做建议做植物的看看水稻的2篇文章。有空我会认真读读。

生物技术发展战略研究，主笔，陈竺

Chen, Z., Wang, H.-G., Wen, Z.-J. & Wang, Y. 2007 Life
sciences and biotechnology in China. Phil. Trans. R. Soc. B362.
(doi:10.1098/rstb.2007.2025)

蛋白质科学研究，主笔，饶子和
Rao, Z. 2007 History of protein crystallography in China.
Phil. Trans. R. Soc. B 362. (doi:10.1098/rstb.2007.2032)

水稻基因组研究，唯一涉及到的植物领域，有2篇文章，一篇是华大班底；一篇是韩斌和遗传所的薛永彪，李家洋，Yale,
NIBS的邓兴枉以及华农张启发的大作。
Han, B., Xue, Y., Li, J., Deng, X.-W. & Zhang, Q. 2007
Rice
functional genomics research in China. Phil. Trans. R. Soc.
B 362. (doi:10.1098/rstb.2007.2030)

Yu, J., Wong, G. K.-S., Liu, S., Wang,
J. & Yang, H. 2007 A
comprehensive crop genome research project: the superhybrid rice
genome project in China. Phil. Trans. R. Soc. B362.
(doi:10.1098/rstb.2007.2031)

草地生态系统研究（不知道中国这个也强）
Kang, L., Han, X., Zhang, Z. & Sun, O. J. 2007 Grassland
ecosystems in China: review of current knowledge and
research advancement. Phil. Trans. R. Soc. B 362. (doi:10.
1098/rstb.2007.2029)

动物进化遗传学研究，昆明动物所张亚平和复旦大学金力等的人马为班底；我感兴趣的领域，我认为该系统可以用于植物研究，而且更方便。有两篇文章，一篇宏观的分子进化，一篇是东亚人群的遗传研究，前段时间有轰动性报道的。
Zhang, Y.-P. & Ge, X. 2007 Molecular evolution study in
China: progress and future promise. Phil. Trans. R. Soc. B
362. (doi:10.1098/rstb.2007.2027)

Zhang, F., Su, B., Zhang, Y.-P. & Jin, L. 2007 Genetics
studies of human diversity in East Asia. Phil. Trans. R. Soc.
B 362. (doi:10.1098/rstb.2007.2028)

干细胞研究，这个中国好象也在不断投钱。
Liao, L., Li, L. & Zhao, R. C. 2007 Stem cell research in
China. Phil. Trans. R. Soc. B 362. (doi:10.1098/rstb.2007.
2037)

药物开发，潜力领域。
Wang, M.-W., Hao, X. & Chen, K. 2007 Biological screening
of natural products and drug innovation in China. Phil.
Trans. R. Soc. B 362. (doi:10.1098/rstb.2007.2036)

分子医药，或者说是分子治疗，陈竺自己操刀。
Chen, Z. 2007 Treatment of acute promyelocytic leukaemia
with all-trans retinoic acid and arsenic trioxide-a paradigm
of synergistic molecular targeting therapy. Phil. Trans. R.
Soc. B 362. (doi:10.1098/rstb.2007.2026)

疾病控制，有2篇文章，一个是新科院士赵国屏的SRAS，另外一个不熟悉
Shen, Y., Xu, Q., Han, Z., Liu, H. & Zhou, G.-B. 2007
Analysis of phenotype–genotype connection: the story of
dissecting disease pathogenesis in the genomic era in
China, and beyond. Phil. Trans. R. Soc. B 362. (doi:10.
1098/rstb.2007.2033)

Zhao, G. 2007 SARS molecular
epidemiology—a Chinese
fairy tale of controlling an emerging zoonotic disease in the
genomics era. Phil. Trans. R. Soc. B 362. (doi:10.1098/
rstb.2007.2034)

蒲幕明也有一篇关于神经科学研究的进展
Poo, M.-m. & Guo, A. 2007 Some recent advances in basic
neuroscience research in China. Phil. Trans. R. Soc. B
362.(doi:10.1098/rstb.2007.2035)

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一本有趣的更新及时的专业杂志!

涉及基因组技术的人和事,美国和加拿大注册可以得到免费纸版和电子版,其他地区可以得到电子版.注册后,这个月我已经收到第一期.有兴趣的可以去看看!

在这里注册:

 

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刚刚收到信息,何为已经成为一名光荣的父亲了!

 

热烈祝贺,并羡慕一下!呵呵,充满责任的同时,我相信更多的是幸福和喜悦!让我们一起来分享吧!

 

母女平安,据说重达4300G, 小名迎迎,大名颖珊!

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没有改变逢赌必输的宿运!:(

 

关于QTL定位,自己认为还有些心得,昨天和同事一起分析数据,做QTL的simulation,
他随机产生的数据看太小,决定都加上20,
我认为对结果有影响,他说不可能,加任何数值都一样,我不相信,就花了时间换不同的数据去算,结果证明我输了.

 

后来,在同事的点拨和冥思苦想下终于明白,发现统计真是自己的短板,其实是一个相当简单的道理.我是实证主义者,土点就是干活不用脑子!

 

请吃中午饭还是值得的!

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前天,出国前指导的一个本科生给我发来翻译的一篇专业文章请我指正,大概是毕业的必须作业.

 

文章是关于玉米的分子和功能变异的综述,作者是目前的老板,我推荐的文章中有它.比较新的内容,该同学是最早呼吁希望我摆出100篇推荐文章的,看来工夫没有白费.

 

文章翻译的相当不错,尤其对某些专业词汇理解的比较透彻,因为这篇文章我读过好几遍,而最近CIMMYT的几位科学家正在写一篇关于玉米的大综述,我负责的就是这部分,昨天我才写好,所以相关内容我比较熟悉,看起来不是很费力.

 

我相信,该同学目前的翻译水平,远远超过我当年的水平;如果不是我熟悉领域,现在我也翻译不了这么好.

 

我不大确认我们实验室目前从事关联分析的研究生是否达到这个水平?但我相信对该领域不熟悉的同学估计很多地方不能理解,尽管我早就推荐了这篇文章!

 

所以应该表扬一下!

 

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  记得上大学的时候,也成了一个伪足球迷,并固执的认为与中国有关的足球比赛都将是中国队赢,十年前的那个十强赛,我依然顽固的下了中国队赢的赌注,泪洒金洲悲惨结局,尽管至今我仍然不能相信和接受,但请吃水煮鱼的事实永远无法改变.

   再追溯到读小学,学习之余的游戏是玩弹珠和用纸折的四角,尽管耍尽了一切可能的小聪明,巨大的实力差别面前,仍然是输多赢少.

   所以一直,我怀疑自己打赌赢的能力.

 

    上个周三例会,一个博士后汇报工作后,谈了他的新发现,抱歉此君是做数学模型和统计的,大约是用我提供的数据预测育种值之类,基本上不是我能理解的东西,老板考虑片刻认为不可行.此君不服气,决心证明给老板看,并站起身与老板击掌为誓,赌注是啤酒.今天,此君看到老板来到办公室,首先一句就是你输了啤酒,于是在电脑上讨论起来.回合不多,老板就点头认输了,并承诺哪天累了请喝啤酒.

    尽管对此君的结果我仍然持保留态度,或者说没有理解.但此事让我仍然感触颇深.

 

    其实,来到CORNELL,没有发现实验室里有高明的仪器设备,实验室里做实验室的人也是三三两两,8点的上班时间,9点过了还没有几个人来;就目前这个实验室,让大家抱怨的是,1/3的时间是无聊的田间工作,比如种玉米,收玉米和拷种,因为这里有号称目前世界最大的QTLMapping项目,25个RIL群体,要收集多达1百万的数据点,而只有一个负责田间工作的技术人员.其他工作大部分由实验室的博士后和研究生完成.尽管如此,成果好象也没有少出.并没有感觉到老板多么的牛X,当然他肯定是牛X的.关键是实验室每个成员都比较有思想,基本上可以肯定,目前实验室里除了我都有资格到中国农大当教授,而且应该是一流的.

 

    所以牛人之间的碰撞容易产生火花,灵光一现的想法往往就是好的paper.当然,更多的是不切实际的想法淹没在反对中.老板每天主要工作就是在办公室里转悠,逢人就Talk,也是监督工作,也是找灵感.所以这是为什么国外一个小的group往往能出大成果,而国内一个课题组积聚数十上百人而往往难见东西的主要原因.

 

    所以,哪一天,我当老板的时候,也希望学生能踊跃和我打赌,并盼望逢赌必输的传统能够延续,希望请喝啤酒或者请吃巧克力成为我今后生活的一部分!

 

 

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